121P Deep learning can predict MSI/MMR status from primary and metastatic colorectal tissue slides

Arslan, S., Ntelemis, F., Geraldes, A. et al. (15 more authors) (2025) 121P Deep learning can predict MSI/MMR status from primary and metastatic colorectal tissue slides. In: ESMO Gastrointestinal Cancers Congress 2025, 02-05 Jul 2025, Barcelona, Spain.

Metadata

Item Type: Conference or Workshop Item
Authors/Creators:
  • Arslan, S.
  • Ntelemis, F.
  • Geraldes, A.
  • Schmidt, J.
  • Mehrotra, D.
  • Singhal, S.
  • Kumar, N.
  • Blackwood, J.
  • Bennett, N.
  • Hyde, M.
  • Rogerson, G.
  • Mistry, B.
  • Freer, C.
  • Walsh, E.
  • Kather, J.N.N.
  • Pandya, P.
  • Orsi, N.
  • Bass, C.
Dates:
  • Published (online): 16 July 2025
  • Published: 16 July 2025
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds)
Date Deposited: 03 Feb 2026 11:05
Last Modified: 03 Feb 2026 11:05
Published Version: https://www.sciencedirect.com/science/article/pii/...
Status: Published
Publisher: Elsevier
Identification Number: 10.1016/j.annonc.2025.05.133
Related URLs:
Open Archives Initiative ID (OAI ID):

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