Systematic outperformance of 112 dermatologists in multiclass skin cancer image classification by convolutional neural networks.

Journal: European journal of cancer (Oxford, England : 1990)
Published Date: Sep 1, 2019

Abstract

BACKGROUND: Recently, convolutional neural networks (CNNs) systematically outperformed dermatologists in distinguishing dermoscopic melanoma and nevi images. However, such a binary classification does not reflect the clinical reality of skin cancer screenings in which multiple diagnoses need to be taken into account.

Authors

  • Roman C Maron
    National Center for Tumor Diseases, German Cancer Research Center, Heidelberg, Germany.
  • Michael Weichenthal
    Department of Dermatology, University Hospital Kiel, Kiel, Germany.
  • Jochen S Utikal
    Department of Dermatology, Heidelberg University, Mannheim, Germany; Skin Cancer Unit, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Achim Hekler
    National Center for Tumor Diseases, Department of Translational Oncology, German Cancer Research Center, Heidelberg, Germany.
  • Carola Berking
    Department of Dermatology, University Hospital Munich, Ludwig Maximilian University of Munich, Munich, Germany.
  • Axel Hauschild
    Department of Dermatology, University Hospital Kiel, Kiel, Germany.
  • Alexander H Enk
    Department of Dermatology, University Hospital Heidelberg, University of Heidelberg, Heidelberg, Germany.
  • Sebastian Haferkamp
    Department of Dermatology, University Hospital Regensburg, Regensburg, Germany.
  • Joachim Klode
    Department of Dermatology, University Hospital of Essen, University of Duisburg-Essen, Essen, Germany.
  • Dirk Schadendorf
    Department of Dermatology, University Hospital Essen, 45147 Essen, Germany.
  • Philipp Jansen
    Department of Dermatology, University Hospital Essen, Essen, Germany.
  • Tim Holland-Letz
    Department of Biostatistics, German Cancer Research Center, Heidelberg, Germany.
  • Bastian Schilling
    Department of Dermatology, University Hospital Wuerzburg, Wuerzburg, Germany.
  • Christof von Kalle
    National Center for Tumor Diseases, Department of Translational Oncology, German Cancer Research Center, Heidelberg, Germany.
  • Stefan Fröhling
    National Center for Tumor Diseases (NCT), German Cancer Research Center (DKFZ), Im Neuenheimer Feld 460, 69120 Heidelberg, Germany.
  • Maria R Gaiser
    Department of Dermatology, Heidelberg University, Mannheim, Germany; Skin Cancer Unit, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Daniela Hartmann
    Department of Dermatology, University Hospital Munich (LMU), Munich, Germany.
  • Anja Gesierich
    Department of Dermatology, University Hospital Würzburg, Würzburg, Germany.
  • Katharina C Kähler
    Department of Dermatology, University Hospital Kiel, Kiel, Germany.
  • Ulrike Wehkamp
    Department of Dermatology, University Hospital Kiel, Kiel, Germany.
  • Ante Karoglan
    Department of Dermatology, University Hospital Magdeburg, Magdeburg, Germany.
  • Claudia Bär
    Department of Dermatology, University Hospital Magdeburg, Magdeburg, Germany.
  • Titus J Brinker
    National Center for Tumor Diseases (NCT), German Cancer Research Center (DKFZ), Heidelberg, Germany.

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