Robustness of convolutional neural networks in recognition of pigmented skin lesions.

Journal: European journal of cancer (Oxford, England : 1990)
Published Date: Jan 7, 2021

Abstract

BACKGROUND: A basic requirement for artificial intelligence (AI)-based image analysis systems, which are to be integrated into clinical practice, is a high robustness. Minor changes in how those images are acquired, for example, during routine skin cancer screening, should not change the diagnosis of such assistance systems.

Authors

  • Roman C Maron
    National Center for Tumor Diseases, German Cancer Research Center, Heidelberg, Germany.
  • Sarah Haggenmüller
    Digital Biomarkers for Oncology Group, National Center for Tumor Diseases (NCT), 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.
  • Jochen S Utikal
    Department of Dermatology, Heidelberg University, Mannheim, Germany; Skin Cancer Unit, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Friedegund Meier
    Skin Cancer Center at the University Cancer Centre and National Center for Tumor Diseases Dresden, Department of Dermatology, University Hospital Carl Gustav Carus, Technische Universität Dresden, Germany.
  • Frank F Gellrich
    Skin Cancer Center at the University Cancer Centre and National Center for Tumor Diseases Dresden, Department of Dermatology, University Hospital Carl Gustav Carus, Technische Universität Dresden, Germany.
  • Axel Hauschild
    Department of Dermatology, University Hospital Kiel, Kiel, Germany.
  • Lars E French
    Department of Dermatology and Allergy, University Hospital, Ludwig Maximilian University of Munich, 80337 Munich, Germany.
  • Max Schlaak
    Department of Dermatology, Venereology and Allergology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117 Berlin, Germany.
  • Kamran Ghoreschi
    Department of Dermatology, Venereology and Allergology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
  • Heinz Kutzner
    Dermatopathology Laboratory, Friedrichshafen, Germany.
  • Markus V Heppt
    Department of Dermatology, University Hospital Erlangen, University of Erlangen, Erlangen, Germany.
  • Sebastian Haferkamp
    Department of Dermatology, University Hospital Regensburg, Regensburg, Germany.
  • Wiebke Sondermann
    Department of Dermatology, University Hospital Essen, Essen, Germany.
  • Dirk Schadendorf
    Department of Dermatology, University Hospital Essen, 45147 Essen, Germany.
  • Bastian Schilling
    Department of Dermatology, University Hospital Wuerzburg, Wuerzburg, Germany.
  • Achim Hekler
    National Center for Tumor Diseases, Department of Translational Oncology, German Cancer Research Center, Heidelberg, Germany.
  • Eva Krieghoff-Henning
    Digital Biomarkers for Oncology Group (DBO), National Center for Tumor Diseases (NCT), German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Jakob N Kather
    Department of Gastroenterology, University Hospital RWTH Aachen, Aachen, Germany. jakob.kather@gmail.com.
  • Stefan Fröhling
    National Center for Tumor Diseases (NCT), German Cancer Research Center (DKFZ), Im Neuenheimer Feld 460, 69120 Heidelberg, Germany.
  • Daniel B Lipka
    National Center for Tumor Diseases (NCT), German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Titus J Brinker
    National Center for Tumor Diseases (NCT), German Cancer Research Center (DKFZ), Heidelberg, Germany.

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