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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>
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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>