Royal College of Radiologists Guidance Statements on the Use of Auto-contouring in Radiotherapy

Mackay, K., Banfill, K., Bernstein, D. et al. (14 more authors) (2026) Royal College of Radiologists Guidance Statements on the Use of Auto-contouring in Radiotherapy. Clinical Oncology, 50. 104004. ISSN: 0936-6555

Abstract

Metadata

Item Type: Article
Authors/Creators:
  • Mackay, K.
  • Banfill, K.
  • Bernstein, D.
  • Daniel, J.
  • Diez, P.
  • Gwynne, S.
  • Hoole, A.
  • Jena, R.
  • Marchant, T.
  • Nix, M.
  • Price, G.
  • Teo, M.
  • Boon, I.
  • Hindocha, S.
  • Wang, J.
  • Zucker, K. ORCID logo https://orcid.org/0000-0003-4385-3153
  • Taylor, A.
Keywords: Artificial intelligence; auto-contouring; auto-segmentation; deep learning; guidelines; machine learning; radiotherapy
Dates:
  • Accepted: 15 December 2025
  • Published (online): 18 December 2025
  • Published: February 2026
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds)
Date Deposited: 19 Mar 2026 08:49
Last Modified: 19 Mar 2026 16:32
Published Version: https://www.sciencedirect.com/science/article/pii/...
Status: Published
Publisher: Elsevier
Identification Number: 10.1016/j.clon.2025.104004
Related URLs:
Open Archives Initiative ID (OAI ID):

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