review·Nature Cancer·Sep 22, 2022Closed access

Artificial intelligence in histopathology: enhancing cancer research and clinical oncology

ASArtem ShmatkoCorresponding authorNGNarmin Ghaffari LalehMGMoritz GerstungJNJakob Nikolas Kather

European Bioinformatics Institute · German Cancer Research Center · +9 more institutions

PubMed
Indexed incrossrefpubmed

Abstract

No abstract available for this paper.

Citation impact

408
total citations
FWCI
50.63
Percentile
100%
References
162
Citations per year

Authors

4
  • AS
    Artem ShmatkoCorresponding

    European Bioinformatics Institute, German Cancer Research Center, Heidelberg University

  • NG
    Narmin Ghaffari Laleh

    RWTH Aachen University

  • MG
    Moritz Gerstung

    European Bioinformatics Institute, German Cancer Research Center, Heidelberg University, Bioinformatics Institute

  • JN
    Jakob Nikolas Kather

    University of Leeds, Heidelberg University, St James's University Hospital, University Hospital Heidelberg, National Center for Tumor Diseases, University Hospital Carl Gustav Carus, Technische Universität Dresden, RWTH Aachen University

Topics & keywords

Topics
  • Primary topicAI in cancer detection100%
  • Radiomics and Machine Learning in Medical Imaging100%
  • Colorectal Cancer Screening and Detection99%
Keywords
  • Histopathology
  • Workload
  • Digital pathology
  • Cancer
  • Objectivity (philosophy)
  • Artificial intelligence
  • Medical physics
  • Computer science
No related works found for this paper.

Funding

  • BF
    Bundesministerium für Gesundheit
  • DK
    Deutsche Krebshilfe