Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review.

Journal: Journal of medical Internet research
Published Date: Oct 17, 2018

Abstract

BACKGROUND: State-of-the-art classifiers based on convolutional neural networks (CNNs) were shown to classify images of skin cancer on par with dermatologists and could enable lifesaving and fast diagnoses, even outside the hospital via installation of apps on mobile devices. To our knowledge, at present there is no review of the current work in this research area.

Authors

  • Titus Josef Brinker
    National Center for Tumor Diseases, Department of Translational Oncology, German Cancer Research Center, Heidelberg, Germany.
  • Achim Hekler
    National Center for Tumor Diseases, Department of Translational Oncology, German Cancer Research Center, Heidelberg, Germany.
  • Jochen Sven Utikal
    Skin Cancer Unit, German Cancer Research Center, Heidelberg, Germany.
  • Niels Grabe
    Department of Medical Oncology, National Center for Tumor Diseases, University of Heidelberg, Heidelberg, Germany.
  • Dirk Schadendorf
    Department of Dermatology, University Hospital Essen, 45147 Essen, Germany.
  • Joachim Klode
    Department of Dermatology, University Hospital of Essen, University of Duisburg-Essen, Essen, Germany.
  • Carola Berking
    Department of Dermatology, University Hospital Munich, Ludwig Maximilian University of Munich, Munich, Germany.
  • Theresa Steeb
    Department of Dermatology, University Hospital Munich, Ludwig Maximilian University of Munich, Munich, Germany.
  • Alexander H Enk
    Department of Dermatology, University Hospital Heidelberg, University of Heidelberg, Heidelberg, Germany.
  • Christof von Kalle
    National Center for Tumor Diseases, Department of Translational Oncology, German Cancer Research Center, Heidelberg, Germany.

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