A digital score of tumour‐associated stroma infiltrating lymphocytes predicts survival in head and neck squamous cell carcinoma

Shaban, M., Ahmed Raza, S.E., Hassan, M. et al. (11 more authors) (2022) A digital score of tumour‐associated stroma infiltrating lymphocytes predicts survival in head and neck squamous cell carcinoma. The Journal of Pathology, 256 (2). pp. 174-185. ISSN 0022-3417

Abstract

Metadata

Item Type: Article
Authors/Creators:
  • Shaban, M.
  • Ahmed Raza, S.E.
  • Hassan, M.
  • Jamshed, A.
  • Mushtaq, S.
  • Loya, A.
  • Batis, N.
  • Brooks, J.
  • Nankivell, P.
  • Sharma, N.
  • Robinson, M.
  • Mehanna, H.
  • Khurram, S.A. ORCID logo https://orcid.org/0000-0002-0378-9380
  • Rajpoot, N.
Copyright, Publisher and Additional Information:

© 2021 The Authors. 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 (http://creativecommons.org/licenses/by/4.0/).

Keywords: artificial intelligence; deep learning; digital pathology; head and neck squamous cell carcinoma; machine learning; survival analysis; tumour-associated stroma
Dates:
  • Published: 5 January 2022
  • Published (online): 24 November 2021
  • Accepted: 23 October 2021
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Clinical Dentistry (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 30 Nov 2021 07:28
Last Modified: 16 Mar 2022 08:50
Status: Published
Publisher: Wiley
Refereed: Yes
Identification Number: 10.1002/path.5819
Related URLs:
Open Archives Initiative ID (OAI ID):

Download

Export

Statistics