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This method was also effective for COVID-19 detection from chest radiography images which led to
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<a href="https://github.com/hasibzunair/synthetic-covid-cxr-dataset">Synthetic COVID-19 Chest X-ray Dataset for Computer-Aided Diagnosis</a>.
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The synthetic images not only improved performance of various deep learning architectures when used as additional training data
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under heavy imbalance conditions, but also detect the target class (e.g. COVID-19) with high confidence
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This model predicts if the given image has benign or malignant symptoms.
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To use it, simply upload a skin lesion image, or click one of the examples to load them.
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Read more at the links below.
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</body>
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This method was also effective for COVID-19 detection from chest radiography images which led to
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<a href="https://github.com/hasibzunair/synthetic-covid-cxr-dataset">Synthetic COVID-19 Chest X-ray Dataset for Computer-Aided Diagnosis</a>.
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The synthetic images not only improved performance of various deep learning architectures when used as additional training data
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under heavy imbalance conditions, but also detect the target class (e.g. COVID-19) with high confidence.</br></br>
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This demo model predicts if the given image has benign or malignant symptoms.
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To use it, simply upload a skin lesion image, or click one of the examples to load them.
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Read more at the links below.
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</body>
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