Past and present of computer-assisted dermoscopic diagnosis: performance of a conventional image analyser versus a convolutional neural network in a prospective data set of 1,981 skin lesions.

Journal: European journal of cancer (Oxford, England : 1990)
Published Date: Jun 10, 2020

Abstract

BACKGROUND: Convolutional neural networks (CNNs) have shown a dermatologist-level performance in the classification of skin lesions. We aimed to deliver a head-to-head comparison of a conventional image analyser (CIA), which depends on segmentation and weighting of handcrafted features, to a CNN trained by deep learning.

Authors

  • Katharina Sies
    Department of Dermatology, University of Heidelberg, Heidelberg, Germany.
  • Julia K Winkler
    Department of Dermatology, University of Heidelberg, Heidelberg, Germany.
  • Christine Fink
  • Felicitas Bardehle
    Department of Dermatology, University of Heidelberg, Heidelberg, Germany.
  • Ferdinand Toberer
  • Timo Buhl
  • Alexander Enk
    Department of Dermatology, University of Heidelberg, Heidelberg, Germany.
  • Andreas Blum
  • Albert Rosenberger
    Institute of Genetic Epidemiology at the Center of Statistics, University of Goettingen, Goettingen, Germany.
  • Holger A Haenssle
    Department of Dermatology, University of Heidelberg, Heidelberg, Germany. Electronic address: holger.haenssle@med.uni-heidelberg.de.

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