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Image-based automated Psoriasis Area Severity Index scoring by Convolutional Neural Networks.

Mirjam J SchaapN J CardozoAjay PatelElke M G J de JongBram van GinnekenMarieke Martha Benedicta Seyger
Published in: Journal of the European Academy of Dermatology and Venereology : JEADV (2021)
Convolutional Neural Networks have the potential to automatically and objectively perform image-based PASI scoring at an anatomical region level. For erythema, desquamation and induration scoring, CNNs performed similar to physicians, while for area scoring CNNs outperformed physicians on image-based PASI scoring.
Keyphrases
  • convolutional neural network
  • deep learning
  • primary care
  • machine learning
  • physical activity
  • high throughput
  • climate change