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      Image-based consensus molecular subtype (imCMS) classification of colorectal cancer using deep learning

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      Sirinukunwattana_etal_image_based_consensus_VOR.pdf (7.397Mb)
      Publication date
      01/03/2021
      Author
      Sirinukunwattana, Korsuk
      Domingo, Enric
      Richman, Susan
      Redmond, Keara L
      Blake, Andrew
      Verrill, Clare
      Leedham, Simon J.
      Chatzipli, Aikaterini
      Hardy, Claire
      Whalley, Celina
      Wu, Chieh-Hsi
      Beggs, Andrew D.
      McDermott, Ultan
      Dunne, Philip D.
      Meade, Angela A
      Walker, Steven M
      Murray, Graeme
      Samuel, Leslie M.
      Seymour, Matthew
      Tomlinson, Ian
      Quirke, Philip
      Maughan, Tim
      Rittscher, Jens
      Koelzer, Viktor H.
      The S:CORT Consortium
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      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
      URI
      https://hdl.handle.net/2164/15965
      DOI
      https://doi.org/10.1136/gutjnl-2019-319866
      Rights
      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.
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