Development and validation of a weakly supervised deep learning framework to predict the status of molecular pathways and key mutations in colorectal cancer from routine histology images: a retrospective study

BACKGROUND: Determining the status of molecular pathways and key mutations in colorectal cancer is crucial for optimal therapeutic decision making. We therefore aimed to develop a novel deep learning pipeline to predict the status of key molecular pathways and mutations from whole-slide images of ha...

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Detalles Bibliográficos
Autores principales: Bilal, Mohsin, Raza, Shan E Ahmed, Azam, Ayesha, Graham, Simon, Ilyas, Mohammad, Cree, Ian A, Snead, David, Minhas, Fayyaz, Rajpoot, Nasir M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd 2021
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8609154/
https://www.ncbi.nlm.nih.gov/pubmed/34686474
http://dx.doi.org/10.1016/S2589-7500(21)00180-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8609154/
https://www.ncbi.nlm.nih.gov/pubmed/34686474
http://dx.doi.org/10.1016/S2589-7500(21)00180-1

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