Tumour purity assessment with deep learning in colorectal cancer and impact on molecular analysis

Schoenpflug, L.A., Chatzipli, A., Sirinukunwattana, K. et al. (23 more authors) (Cover date: February 2025) Tumour purity assessment with deep learning in colorectal cancer and impact on molecular analysis. The Journal of Pathology, 265 (2). pp. 184-197. ISSN 0022-3417

Abstract

Metadata

Item Type: Article
Authors/Creators:
  • Schoenpflug, L.A.
  • Chatzipli, A.
  • Sirinukunwattana, K.
  • Richman, S.
  • Blake, A.
  • Robineau, J.
  • Mertz, K.D.
  • Verrill, C.
  • Leedham, S.J.
  • Hardy, C.
  • Whalley, C.
  • Redmond, K.
  • Dunne, P.
  • Walker, S.
  • Beggs, A.D.
  • McDermott, U.
  • Murray, G.I.
  • Samuel, L.M.
  • Seymour, M.
  • Tomlinson, I.
  • Quirke, P. ORCID logo https://orcid.org/0000-0002-3597-5444
  • consortium, S.C.
  • Rittscher, J.
  • Maughan, T.
  • Domingo, E.
  • Koelzer, V.H.
Copyright, Publisher and Additional Information:

© 2024 The Author(s). The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Keywords: pathology; artificial intelligence; colorectal cancer; diagnostic molecular pathology; personalised medicine
Dates:
  • Published: 9 January 2025
  • Published (online): 22 December 2024
  • Accepted: 29 October 2024
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Medical Research (LIMR) > Division of Pathology and Data Analytics
Funding Information:
Funder
Grant number
MRC (Medical Research Council)
MR/M016587/1
Depositing User: Symplectic Publications
Date Deposited: 07 Jan 2025 16:01
Last Modified: 18 Feb 2025 14:36
Status: Published
Publisher: Wiley
Identification Number: 10.1002/path.6376
Related URLs:
Open Archives Initiative ID (OAI ID):

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