Image-based consensus molecular subtype (imCMS) classification of colorectal cancer using deep learning
Citation
Sirinukunwattana , 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-2019-319866
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Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made.