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README.md
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@@ -92,6 +92,7 @@ Each data instance (male/train/001.gz for example) contains the following:
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```
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{
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'gender': str ['male', 'female'],
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'mri_seg': numpy.ndarray (192, 256, 110),
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'mri_labels': dict {'NO': 0, 'LT': 1, 'AT': 2, 'VAT': 3, 'BONE': 4},
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'mri_seg_dict': dict dict_keys(['LT', 'AT', 'VAT', 'BODY', 'BONE', 'NO']),
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### Data Fields
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Each data instance (male/train/001.gz for example) contains the following fields:
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- 'gender': "gender of the subject",
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- 'mri_seg': "annotated array with the labels 0,1,2,3",
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- 'mri_labels': "dictionary of mapping between label integer and name",
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- 'mri_seg_dict': "a dictionary of individual masks of the different tissues (LT, AT, BT, ...)",
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```
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{
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'gender': str ['male', 'female'],
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'subject_ID': str
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'mri_seg': numpy.ndarray (192, 256, 110),
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'mri_labels': dict {'NO': 0, 'LT': 1, 'AT': 2, 'VAT': 3, 'BONE': 4},
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'mri_seg_dict': dict dict_keys(['LT', 'AT', 'VAT', 'BODY', 'BONE', 'NO']),
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### Data Fields
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Each data instance (male/train/001.gz for example) contains the following fields:
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- 'gender': "gender of the subject",
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- 'subject_ID': "anonymized name of the subject which is also the filename"
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- 'mri_seg': "annotated array with the labels 0,1,2,3",
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- 'mri_labels': "dictionary of mapping between label integer and name",
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- 'mri_seg_dict': "a dictionary of individual masks of the different tissues (LT, AT, BT, ...)",
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