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This paper is in the following e-collection/theme issue:

Non-Randomized Studies (funded, eHealth) (193) Pathology and Laboratory Medicine (48) Breast Cancer (392) Cancer Prognosis Models and Machine Learning (127) Immunoinformatics and Pathology informatics (28)

Published on in Vol 15 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/76785, first published .
Doctor in blue scrubs and white coat using a computer in a hospital setting

Deep-Learning Solution Providing Molecular Marker Subtyping of Breast Cancer Whole Slide Images: Protocol for a UK Clinical Service Evaluation Study

Deep-Learning Solution Providing Molecular Marker Subtyping of Breast Cancer Whole Slide Images: Protocol for a UK Clinical Service Evaluation Study

Authors of this article:

Elizabeth Walsh1, 2 Author Orcid Image ;   Dildar Rathore2 Author Orcid Image ;   André Geraldes3 Author Orcid Image ;   Salim Arslan3 Author Orcid Image ;   Andrew M Hanby1, 2 Author Orcid Image ;   Rebecca Millican-Slater2 Author Orcid Image ;   Michael Drummond4 Author Orcid Image ;   Olorunda Rotimi2 Author Orcid Image ;   Narender Kumar3 Author Orcid Image ;   Pahini Pandya3 Author Orcid Image ;   Nicolas M Orsi1, 2 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Elizabeth Walsh   1, 2 , MBChB ;   Dildar Rathore   2 , BSc ;   André Geraldes   3 , BS, MS, PhD ;   Salim Arslan   3 , BSc, MS, PhD ;   Andrew M Hanby   1, 2 , BM ;   Rebecca Millican-Slater   2 , MBChB, MD, FRCPath ;   Michael Drummond   4 , BSc, MCom, PhD ;   Olorunda Rotimi   2 , MBChB, MSc, FRCPath ;   Narender Kumar   3 , BSc, MSc, PhD ;   Pahini Pandya   3 , BSc, MRES, PhD ;   Nicolas M Orsi   1, 2 , BSc, MBChB, PhD

1 Leeds Institute of Medical Research, Faculty of Medicine, University of Leeds, Leeds, United Kingdom

2 Histopathology Department, St James's University Hospital, Leeds, United Kingdom

3 Panakeia Technologies Ltd, Cambridge, United Kingdom

4 Centre for Health Economics, University of York, York, United Kingdom

Corresponding Author:

  • Elizabeth Walsh, MBChB
  • Leeds Institute of Medical Research
  • Faculty of Medicine
  • University of Leeds
  • St James's University Hospital
  • Leeds LS9 7TF
  • United Kingdom
  • Phone: 44 0113343 ext 8625
  • Email: e.m.walsh@leeds.ac.uk