PH-0410: Multi-centre, deep learning, sCT generation for anorectal cancers with AI robustness assessment

Metadata

Item Type:	Proceedings Paper
Authors/Creators:	Bird, D. Teo, M. Casanova, N. Cooper, R. Gilbert, A. Mccallum, H. Sebag-Montefiore, D. https://orcid.org/0000-0002-5978-9259 Henry, A. https://orcid.org/0000-0002-5379-6618 Speight, R. Al-Qaisieh, B. Nix, M.
Copyright, Publisher and Additional Information:	© 2020 Elsevier Ireland Ltd. All rights reserved. This is an author produced version of an article published in Radiotherapy & Oncology made available under the CC-BY-NC-ND 4.0 license (http://creativecommons.org/licenses/by-nc-nd/4.0) in accordance with the publisher's self-archiving policy.
Dates:	Published: November 2020 Published (online): 5 February 2021
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 Oncology
Depositing User:	Symplectic Publications
Date Deposited:	16 Aug 2024 15:07
Last Modified:	16 Aug 2024 15:07
Status:	Published
Publisher:	Elsevier
Identification Number:	10.1016/s0167-8140(21)00432-1
Open Archives Initiative ID (OAI ID):	oai:eprints.whiterose.ac.uk:216163

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