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Detect all objects related to the sentences 'left picc line tip is in the left brachiocephalic vein.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'left picc line tip is in the left brachiocephalic vein.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [962, 720, 1442, 974], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'there are bilateral pleural effusions and likely atelectasis versus consolidation.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'there are bilateral pleural effusions and likely atelectasis versus consolidation.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [511, 1150, 1951, 1559], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'no pneumothorax.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'no pneumothorax.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [453, 440, 2149, 1699], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'the heart is normal size.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'the heart is normal size.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [1344, 765, 1793, 1174], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'pulmonary vessels are normal.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'pulmonary vessels are normal.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [1430, 764, 1813, 1131], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'no acute osseous abnormality.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'no acute osseous abnormality.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [269, 1148, 563, 1517], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'support apparatus.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'support apparatus.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [747, 360, 2028, 1800], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'no pneumothorax.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'no pneumothorax.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [747, 361, 2029, 1800], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'enlarged cardiac silhouette.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'enlarged cardiac silhouette.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [521, 1139, 1672, 1624], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'possible mild right basilar consolidation.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'possible mild right basilar consolidation.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [610, 1436, 878, 1679], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'no acute parenchyma or pleural abnormalities.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'no acute parenchyma or pleural abnormalities.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [307, 881, 1348, 1681], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'cardiomediastinal silhouette is within normal for technique.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'cardiomediastinal silhouette is within normal for technique.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [372, 73, 2093, 1287], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'no acute osseous abnormality.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'no acute osseous abnormality.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [1823, 1068, 2033, 1285], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'the tracheostomy tube is properly positioned.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'the tracheostomy tube is properly positioned.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [698, 195, 1759, 1519], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'subsegmental opacity in the superior segment of left lower lobe is consistent with atelectasis.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'subsegmental opacity in the superior segment of left lower lobe is consistent with atelectasis.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [740, 1075, 1129, 1642], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'multisegmental right lower lobe opacities consistent with atelectatic and / or consolidated lung.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'multisegmental right lower lobe opacities consistent with atelectatic and / or consolidated lung.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [641, 1375, 985, 1708], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'the heart is normal in size.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'the heart is normal in size.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [1618, 110, 2273, 698], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'no acute osseous abnormality is present.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'no acute osseous abnormality is present.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [1297, 134, 2384, 2216], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'lung volumes within normal limits.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'lung volumes within normal limits.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [586, 882, 1701, 1336], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'mild subsegmental atelectasis in the mid right lung and at the left lung base.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'mild subsegmental atelectasis in the mid right lung and at the left lung base.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [515, 831, 1677, 1413], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'no consolidation or pleural effusion.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'no consolidation or pleural effusion.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [323, 159, 1870, 1630], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'no pneumothorax.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'no pneumothorax.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [366, 138, 1644, 1572], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'no acute osseous abnormality.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'no acute osseous abnormality.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [716, 1273, 1672, 1511], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'mild elevation of the left hemidiaphragm.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'mild elevation of the left hemidiaphragm.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [721, 1263, 1668, 1545], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'there is mild bibasilar subsegmental atelectasis.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'there is mild bibasilar subsegmental atelectasis.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [1094, 673, 1973, 1742], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'the heart and pulmonary vessels are normal.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'the heart and pulmonary vessels are normal.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [424, 1682, 659, 1973], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'no effusions or pneumothorax.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'no effusions or pneumothorax.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [424, 1682, 659, 1973], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'no acute osseous abnormality.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'no acute osseous abnormality.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [1051, 530, 1366, 770], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'endotracheal tube is properly positioned.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'endotracheal tube is properly positioned.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [1113, 817, 1592, 1268], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'left picc is in the svc.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'left picc is in the svc.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [1095, 1026, 1437, 1378], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'a gastric tube traverses the esophagus towards the stomach.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'a gastric tube traverses the esophagus towards the stomach.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [1023, 850, 2208, 1672], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'subsegmental opacity in the superior segment of right lower lobe is consistent with atelectasis.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'subsegmental opacity in the superior segment of right lower lobe is consistent with atelectasis.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [990, 1227, 1317, 1530], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'subsegmental atelectasis is present in the left lower lung.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'subsegmental atelectasis is present in the left lower lung.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [663, 479, 2173, 1640], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'no pleural space abnormality is present.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'no pleural space abnormality is present.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [1325, 685, 1864, 1635], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'cardiac and mediastinal contours are normal.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'cardiac and mediastinal contours are normal.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [1382, 369, 2396, 1560], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'osseous structures are normal.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'osseous structures are normal.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [1266, 358, 2532, 1507], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'endotracheal tube in satisfactory position.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'endotracheal tube in satisfactory position.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [1152, 373, 2629, 1487], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'lung volumes are mildly low.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'lung volumes are mildly low.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [512, 367, 1983, 1751], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'small right pleural effusion.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'small right pleural effusion.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [450, 1168, 2860, 1720], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'no large left pleural effusion.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'no large left pleural effusion.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [576, 377, 2819, 1782], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'costochondral calcification.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'costochondral calcification.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [1027, 346, 2030, 718], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'no consolidation.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'no consolidation.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [1302, 257, 2306, 1528], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'no pneumothorax.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'no pneumothorax.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [504, 211, 1986, 994], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'no acute osseous abnormality.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'no acute osseous abnormality.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [434, 796, 2791, 2111], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'left pectoral dual-chamber cardiac pacemaker.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'left pectoral dual-chamber cardiac pacemaker.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [1846, 1255, 2032, 1467], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'intact sternal wires and multiple mediastinal surgical clips suggestive of a cabg.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'intact sternal wires and multiple mediastinal surgical clips suggestive of a cabg.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [1798, 1333, 2045, 1565], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'coronary artery stent projects over the expected location of the lad or left main.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'coronary artery stent projects over the expected location of the lad or left main.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [1295, 958, 2324, 2024], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'enlarged cardiac silhouette.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'enlarged cardiac silhouette.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [596, 1458, 2532, 2104], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'hazy opacities in the lung bases likely represent atelectasis.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'hazy opacities in the lung bases likely represent atelectasis.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [956, 707, 2450, 1665], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'no acute pleural abnormality.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'no acute pleural abnormality.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [170, 1753, 509, 2219], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'no acute osseous abnormality.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'no acute osseous abnormality.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [90, 856, 2737, 2129], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'the lungs are clear.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'the lungs are clear.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [661, 567, 1846, 1564], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'there is mild cardiomegaly.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'there is mild cardiomegaly.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [314, 365, 2243, 2228], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'there is no effusion or pneumothorax.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'there is no effusion or pneumothorax.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [434, 451, 2141, 2010], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'no acute osseous lesions are seen.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'no acute osseous lesions are seen.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [1597, 332, 2447, 830], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'status post left shoulder arthroplasty.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'status post left shoulder arthroplasty.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [1971, 261, 2447, 913], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'left jugular vein catheter terminates in upper third of svc.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'left jugular vein catheter terminates in upper third of svc.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [992, 276, 2258, 1543], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'no pulmonary parenchyma or pleural space process is present.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'no pulmonary parenchyma or pleural space process is present.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [984, 487, 1331, 870], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'cardiac and mediastinal contours are normal.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'cardiac and mediastinal contours are normal.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [1134, 1106, 1802, 1946], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'no osseous abnormality is present.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'no osseous abnormality is present.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [235, 378, 2543, 2300], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'tip of the feeding tube is below the diaphragm.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'tip of the feeding tube is below the diaphragm.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [1138, 484, 2028, 2274], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'dialysis catheter tip and right picc line are at the cavoatrial junction.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'dialysis catheter tip and right picc line are at the cavoatrial junction.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [1282, 1281, 1566, 1553], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'there is left perihilar ground-glass opacity likely representing pulmonary edema.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'there is left perihilar ground-glass opacity likely representing pulmonary edema.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [1108, 1064, 2273, 1498], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'possible superimposed consolidation at the lung bases.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'possible superimposed consolidation at the lung bases.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [1132, 1285, 2445, 1969], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'possible small left effusion.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'possible small left effusion.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [2327, 1878, 2543, 2159], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'no pneumothorax.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'no pneumothorax.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [553, 557, 1479, 1877], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'no acute osseous abnormality.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'no acute osseous abnormality.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [737, 669, 2543, 2108], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'no pneumothorax.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'no pneumothorax.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [758, 357, 1659, 712], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'mediastinum normal.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'mediastinum normal.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [310, 400, 1660, 1978], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'no consolidation.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'no consolidation.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [305, 1055, 665, 1921], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'the lungs are clear.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'the lungs are clear.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [687, 760, 2275, 1494], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'the heart is normal size.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'the heart is normal size.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [1687, 509, 2213, 1449], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'pulmonary vessels are normal.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'pulmonary vessels are normal.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [565, 1283, 833, 1778], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'no effusions or pneumothorax.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'no effusions or pneumothorax.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [2187, 240, 3055, 1738], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'no acute osseous abnormality.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'no acute osseous abnormality.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [1291, 180, 2429, 495], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'support apparatus.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'support apparatus.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [822, 426, 2156, 1197], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'no pneumothorax.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'no pneumothorax.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [689, 435, 2128, 1912], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'mediastinal contours normal.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'mediastinal contours normal.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [825, 1235, 2470, 1779], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'high density right lower lobe nodule , maybe due to a granuloma.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'high density right lower lobe nodule , maybe due to a granuloma.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [897, 1657, 1134, 1911], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'no consolidation.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'no consolidation.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [469, 1164, 2524, 1691], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'endotracheal tube and right jugular vein catheter are properly positioned.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'endotracheal tube and right jugular vein catheter are properly positioned.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [1458, 516, 1971, 2257], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'a gastric tube traverses the esophagus towards the stomach.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'a gastric tube traverses the esophagus towards the stomach.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [735, 450, 2470, 2543], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'opacities , consistent with consolidation , are present in the right upper lobe , left upper lobe and right lower lung.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'opacities , consistent with consolidation , are present in the right upper lobe , left upper lobe and right lower lung.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [803, 727, 2424, 2185], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'no pleural fluid is present.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'no pleural fluid is present.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [996, 791, 2350, 2218], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'cardiac and mediastinal contours are normal.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'cardiac and mediastinal contours are normal.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [493, 516, 2537, 1853], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'osseous structures are normal.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'osseous structures are normal.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [830, 487, 2943, 1805], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'right internal jugular catheter tip is at the cavoatrial junction.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'right internal jugular catheter tip is at the cavoatrial junction.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [1058, 617, 1582, 1984], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'patchy bilateral consolidation.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'patchy bilateral consolidation.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [224, 1054, 2302, 2731], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'trace left and probably trace right pleural effusion.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'trace left and probably trace right pleural effusion.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [214, 1373, 2212, 2871], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'cardiomediastinal silhouette is normal.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'cardiomediastinal silhouette is normal.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [859, 748, 2044, 2237], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'no pneumothorax.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'no pneumothorax.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [497, 750, 2042, 1887], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'no acute osseous abnormality.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'no acute osseous abnormality.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [187, 1518, 2346, 2772], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'no pneumothorax.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'no pneumothorax.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [1181, 455, 1722, 1803], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'mediastinum normal.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'mediastinum normal.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [465, 535, 2301, 2069], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'no consolidation.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'no consolidation.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [439, 502, 2325, 2092], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'right internal jugular central venous catheter in satisfactory position.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'right internal jugular central venous catheter in satisfactory position.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [753, 682, 1330, 1214], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'lung volumes are mildly low.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'lung volumes are mildly low.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [1222, 754, 1633, 1133], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'cardiac silhouette within normal limits for portable technique and low lung volumes.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'cardiac silhouette within normal limits for portable technique and low lung volumes.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [395, 878, 1642, 1162], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'left basilar subsegmental atelectasis.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'left basilar subsegmental atelectasis.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [380, 891, 1782, 1185], 'Confidence': 1}]</answer> |
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Detect all objects related to the sentences 'no consolidation.' in the image, and provide the bounding boxes (between 0 and 2140, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'no consolidation.' in the image, return 'No Objects'. Output the thinking process in <think> </think> and final answer in <answer> </answer> tags.The output answer format should be as follows: <think> ... </think> <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> Please strictly follow the format. | <answer>[{'Position': [1594, 784, 1940, 1310], 'Confidence': 1}]</answer> |
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