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Compound computer vision workflow for efficient and automated immunohistochemical analysis of whole slide images

Authors

  • Michael Kyung Ik Lee Laboratory Medicine & Pathobiology, University of Toronto Temerty Faculty of Medicine, Toronto, Ontario, CanadaPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada PubMed articlesGoogle scholar articles
  • Madhumitha Rabindranath Laboratory Medicine & Pathobiology, University of Toronto Temerty Faculty of Medicine, Toronto, Ontario, Canada PubMed articlesGoogle scholar articles
  • Kevin Faust Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, CanadaComputer Science, University of Toronto, Toronto, Ontario, Canada PubMed articlesGoogle scholar articles
  • Jennie Yao Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada PubMed articlesGoogle scholar articles
  • Ariel Gershon Pathology, University Health Network, Toronto, Ontario, Canada PubMed articlesGoogle scholar articles
  • Noor Alsafwani Pathology, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia PubMed articlesGoogle scholar articles
  • Phedias Diamandis Laboratory Medicine & Pathobiology, University of Toronto Temerty Faculty of Medicine, Toronto, Ontario, CanadaPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, CanadaPathology, University Health Network, Toronto, Ontario, CanadaMedical Biophysics, University of Toronto, Toronto, Ontario, Canada PubMed articlesGoogle scholar articles
  1. Correspondence to Dr Phedias Diamandis, Laboratory Medicine & Pathobiology, University of Toronto Temerty Faculty of Medicine, Toronto, Canada; p.diamandis{at}mail.utoronto.ca
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Citation

Lee MKI, Rabindranath M, Faust K, et al
Compound computer vision workflow for efficient and automated immunohistochemical analysis of whole slide images

Publication history

  • Received October 23, 2021
  • Accepted January 10, 2022
  • First published February 15, 2022.

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