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Deep learning-based classification of dermatological lesions given a limited amount of labelled data.

Sebastian KrammerY LiN JakobA S BoehmH WolffP TangT LasserL E FrenchDaniela Hartmann
Published in: Journal of the European Academy of Dermatology and Venereology : JEADV (2022)
The experimental results demonstrate the great potential of the self-supervised learning in alleviating the scarcity of annotated data.
Keyphrases
  • deep learning
  • machine learning
  • electronic health record
  • big data
  • artificial intelligence
  • convolutional neural network
  • risk assessment