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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Veröffentlicht in:Gut
Hauptverfasser: 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
Format: Artigo
Sprache:Inglês
Veröffentlicht: BMJ Publishing Group 2021
Schlagworte:
Artificial Intelligence/Machine Learning
Online Zugang: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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