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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Pubblicato in:Gut
Autori principali: 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
Natura: Artigo
Lingua:Inglês
Pubblicazione: BMJ Publishing Group 2021
Soggetti:
Artificial Intelligence/Machine Learning
Accesso online: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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