articleUTUPub (University of Turku)Oct 28, 2022GREEN OA

Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge

VDvan der Laak JCGCorrado GSARAllan RNKNagpal KELEgevad L

Radboud University Nijmegen · Radboud University Medical Center · +20 more institutions

Abstract

Through a community-driven competition, the PANDA challenge provides a curated diverse dataset and a catalog of models for prostate cancer pathology, and represents a blueprint for evaluating AI algorithms in digital pathology.Artificial intelligence (AI) has shown promise for diagnosing prostate cancer in biopsies. However, results have been limited to individual studies, lacking validation in multinational settings. Competitions have been shown to be accelerators for medical imaging innovations, but their impact is hindered by lack of reproducibility and independent validation. With this in mind, we organized the PANDA challenge-the largest histopathology competition to date, joined by 1,290 developers-to…

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390
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Authors

33
  • VD
    van der Laak JCorresponding

    Radboud University Nijmegen, Radboud University Medical Center

  • CG
    Corrado GSCorresponding

    Tampere University, Karolinska Institutet

  • AR
    Allan RCorresponding

    Google (United States)

  • NK
    Nagpal K

    Karolinska Institutet

  • EL
    Egevad L

    Radboud University Nijmegen, Radboud University Medical Center

Topics & keywords

Topics
Keywords
  • Prostate cancer
  • Grading (engineering)
  • Medicine
  • Confidence interval
  • Medical physics
  • Machine learning
  • Artificial intelligence
  • Prostate
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