Deep learning detection of melanoma metastases in lymph nodes.

Journal: European journal of cancer (Oxford, England : 1990)
Published Date: Apr 29, 2023

Abstract

BACKGROUND: In melanoma patients, surgical excision of the first draining lymph node, the sentinel lymph node (SLN), is a routine procedure to evaluate lymphogenic metastases. Metastasis detection by histopathological analysis assesses multiple tissue levels with hematoxylin and eosin and immunohistochemically stained glass slides. Considering the amount of tissue to analyze, the detection of metastasis can be highly time-consuming for pathologists. The application of artificial intelligence in the clinical routine has constantly increased over the past few years.

Authors

  • Philipp Jansen
    Department of Dermatology, University Hospital Essen, Essen, Germany.
  • Daniel Otero Baguer
    University of Bremen, Bremen 28359, Germany.
  • Nicole Duschner
    Dermatopathologie Duisburg Essen GmbH, Essen 45329, Germany.
  • Jean Le'Clerc Arrastia
    University of Bremen, Bremen 28359, Germany.
  • Maximilian Schmidt
    University of Bremen, Bremen 28359, Germany.
  • Jennifer Landsberg
    Department of Dermatology and Allergy, University of Bonn, Bonn, Germany.
  • Jörg Wenzel
    Department of Dermatology, University Hospital Bonn, Bonn 53127, Germany.
  • Dirk Schadendorf
    Department of Dermatology, University Hospital Essen, 45147 Essen, Germany.
  • Eva Hadaschik
    Department of Dermatology, University Hospital Essen, Essen 45147, Germany.
  • Peter Maaß
    Center for Industrial Mathematics, University of Bremen, 28359 Bremen, Germany.
  • Jörg Schaller
    Dermatopathologie Duisburg Essen GmbH, Essen 45329, Germany.
  • Klaus Georg Griewank
    Department of Dermatology, University Hospital Essen, Essen 45147, Germany; Dermatopathologie bei Mainz, Nieder-Olm 55268, Germany. Electronic address: klaus.griewank@uk-essen.de.

Keywords

External Resources

Popular Topics
Recent Journals