Automated Classification of Hidradenitis Suppurativa Disease Severity by Convolutional Neural Network Analyses Using Clinical Images

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Assessment of Hidradenitis suppurativa (HS) severity requires details, time-consuming and error-prone lesion counts. To address the need for objective assessments this study aimed to ease severity assessment by automated machine learning based classification using clinical cell-phone images.

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