Sirinukunwattana, KorsukDomingo, EnricRichman, SusanRedmond, Keara LBlake, AndrewVerrill, ClareLeedham, Simon J.Chatzipli, AikateriniHardy, ClaireWhalley, CelinaWu, Chieh-HsiBeggs, Andrew D.McDermott, UltanDunne, Philip D.Meade, Angela AWalker, Steven MMurray, GraemeSamuel, Leslie M.Seymour, MatthewTomlinson, IanQuirke, PhilipMaughan, TimRittscher, JensKoelzer, Viktor H.The S:CORT Consortium2021-03-032021-03-032021-03-01Sirinukunwattana, K, Domingo, E, Richman, S, Redmond, K L, Blake, A, Verrill, C, Leedham, S J, Chatzipli, A, Hardy, C, Whalley, C, Wu, C-H, Beggs, A D, McDermott, U, Dunne, P D, Meade, A A, Walker, S M, Murray, G, Samuel, L M, Seymour, M, Tomlinson, I, Quirke, P, Maughan, T, Rittscher, J, Koelzer, V H & The S:CORT Consortium 2021, 'Image-based consensus molecular subtype (imCMS) classification of colorectal cancer using deep learning', Gut, vol. 70, pp. 544-554. https://doi.org/10.1136/gutjnl-2019-3198660017-5749ORCID: /0000-0003-3981-2420/work/78069039ORCID: /0000-0002-8402-8670/work/79064867https://hdl.handle.net/2164/15965Acknowledgements The authors thank Aurelien de Reynies for advice on CMS calling in FFPE blocks, Claire Butler and Michael Youdell for excellent managing in S:CORT and the MRC Clinical Trials Unit who provided the clinical data from the FOCUS trial with permission from the FOCUS trial steering group. We would further like to thank Indica Labs for providing the HALO software. GRANT SUPPORT The S:CORT consortium is a Medical Research Council stratified medicine consortium jointly funded by the MRC and CRUK. This work was further supported by the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre. Computation used the Oxford Biomedical Research Computing (BMRC) facility, a joint development between the Wellcome Centre for Human Genetics and the Big Data Institute supported by Health Data Research UK and the NIHR Oxford Biomedical Research Centre. Jens Rittscher is supported through the EPSRC funded Seebibyte programme (EP/M013774/1). Viktor H Koelzer gratefully acknowledges funding by the Swiss National Science Foundation (P2SKP3_168322/1 and P2SKP3_168322/2), and the Promedica Foundation F-87701-41-01. The authors thank Aurelien de Reynies for advice on CMS calling in FFPE blocks, Claire Butler and Michael Youdell for excellent managing in S:CORT and the MRC Clinical Trials Unit who provided the clinical data from the FOCUS trial with permission from the FOCUS trial steering group. We would further like to thank Indica Labs for providing the HALOTM software. The results published or shown here based in part upon data generated by the TCGA Research Network established by the NCI and NHGRI. Information about TCGA and the investigators and institutions who constitute the TCGA research network can be found at http://cancergenome.nih.gov. We would specifically like to thank all patients who have consented to take part in S:CORT and TCGA. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health.117756453engSDG 3 - Good Health and Well-beingR Medicine (General)GastroenterologyEngineering and Physical Sciences Research Council (EPSRC)EP/M013774/1Medical Research Council (MRC)Cancer Research UKNational Institute for Health Research (NIHR)Supplementary DataR1Image-based consensus molecular subtype (imCMS) classification of colorectal cancer using deep learningJournal article10.1136/gutjnl-2019-319866http://www.scopus.com/inward/record.url?scp=85088693307&partnerID=8YFLogxK70