Evaluating the performance and generalisability of a clinical-grade AI-based approach for determining MSI/dMMR status in colorectal cancer: A blinded multi-regional study

Arslan, S., Wolf, S., Ntelemis, F. et al. (18 more authors) (2025) Evaluating the performance and generalisability of a clinical-grade AI-based approach for determining MSI/dMMR status in colorectal cancer: A blinded multi-regional study. In: 37th European Congress of Pathology, 06-10 Sep 2025, Vienna, Austria.

Metadata

Item Type: Conference or Workshop Item
Authors/Creators:
  • Arslan, S.
  • Wolf, S.
  • Ntelemis, F.
  • Geraldes, A.
  • Schmidt, J.
  • Mehrotra, D.
  • Singhal, S.
  • Kumar, N.
  • Blackwood, J.
  • Bennett, N.
  • Hyde, M.
  • Rogerson, G.
  • Walsh, E.
  • Clarkson, R.
  • Salto-Tellez, M.
  • Loughrey, M.
  • Harrison, D.J.
  • Orsi, N.M.
  • Kather, J.N.
  • Pandya, P.
  • Bass, C.
Dates:
  • Published (online): 22 August 2025
  • Published: September 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 14:46
Last Modified: 03 Feb 2026 14:46
Published Version: https://link.springer.com/article/10.1007/s00428-0...
Status: Published
Identification Number: 10.1007/s00428-025-04179-2
Related URLs:
Open Archives Initiative ID (OAI ID):

Download not available

A full text copy of this item is not currently available from White Rose Research Online

Export

Statistics

View Altmetric information about this item.


CORE (COnnecting REpositories)