Deep learning outperformed 136 of 157 dermatologists in a head-to-head dermoscopic melanoma image classification task.

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

Abstract

BACKGROUND: Recent studies have successfully demonstrated the use of deep-learning algorithms for dermatologist-level classification of suspicious lesions by the use of excessive proprietary image databases and limited numbers of dermatologists. For the first time, the performance of a deep-learning algorithm trained by open-source images exclusively is compared to a large number of dermatologists covering all levels within the clinical hierarchy.

Authors

  • Titus J Brinker
    National Center for Tumor Diseases (NCT), German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Achim Hekler
    National Center for Tumor Diseases, Department of Translational Oncology, German Cancer Research Center, Heidelberg, Germany.
  • Alexander H Enk
    Department of Dermatology, University Hospital Heidelberg, University of Heidelberg, Heidelberg, Germany.
  • Joachim Klode
    Department of Dermatology, University Hospital of Essen, University of Duisburg-Essen, Essen, Germany.
  • Axel Hauschild
    Department of Dermatology, University Hospital Kiel, Kiel, Germany.
  • Carola Berking
    Department of Dermatology, University Hospital Munich, Ludwig Maximilian University of Munich, Munich, Germany.
  • Bastian Schilling
    Department of Dermatology, University Hospital Wuerzburg, Wuerzburg, Germany.
  • Sebastian Haferkamp
    Department of Dermatology, University Hospital Regensburg, Regensburg, Germany.
  • Dirk Schadendorf
    Department of Dermatology, University Hospital Essen, 45147 Essen, Germany.
  • Tim Holland-Letz
    Department of Biostatistics, German Cancer Research Center, Heidelberg, Germany.
  • Jochen S Utikal
    Department of Dermatology, Heidelberg University, Mannheim, Germany; Skin Cancer Unit, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Christof von Kalle
    National Center for Tumor Diseases, Department of Translational Oncology, German Cancer Research Center, Heidelberg, Germany.

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