Identification of Tissue Types and Gene Mutations From Histopathology Images for Advancing Colorectal Cancer Biology

Objective: Colorectal cancer (CRC) patients respond differently to treatments and are sub-classified by different approaches. We evaluated a deep learning model, which adopted endoscopic knowledge learnt from AI-doscopist, to characterise CRC patients by histopathological features. Results: Data of...

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Detalles Bibliográficos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IEEE 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9355144/
https://www.ncbi.nlm.nih.gov/pubmed/35937101
http://dx.doi.org/10.1109/OJEMB.2022.3192103

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9355144/
https://www.ncbi.nlm.nih.gov/pubmed/35937101
http://dx.doi.org/10.1109/OJEMB.2022.3192103

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