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

OBJECTIVE: Complex phenotypes captured on histological slides represent the biological processes at play in individual cancers, but the link to underlying molecular classification has not been clarified or systematised. In colorectal cancer (CRC), histological grading is a poor predictor of disease...

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Detalhes bibliográficos
Publicado no:Gut
Main Authors: Sirinukunwattana, Korsuk, Domingo, Enric, Richman, Susan D, Redmond, Keara L, Blake, Andrew, Verrill, Clare, Leedham, Simon J, Chatzipli, Aikaterini, Hardy, Claire, Whalley, Celina M, Wu, Chieh-hsi, Beggs, Andrew D, McDermott, Ultan, Dunne, Philip D, Meade, Angela, Walker, Steven M, Murray, Graeme I, Samuel, Leslie, Seymour, Matthew, Tomlinson, Ian, Quirke, Phil, Maughan, Timothy, Rittscher, Jens, Koelzer, Viktor H
Formato: Artigo
Idioma:Inglês
Publicado em: BMJ Publishing Group 2021
Assuntos:
Artificial Intelligence/Machine Learning
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7873419/
https://ncbi.nlm.nih.gov/pubmed/32690604
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/gutjnl-2019-319866
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