Clinical actionability of triaging DNA mismatch repair deficient colorectal cancer from biopsy samples using deep learning

BACKGROUND: We aimed to develop a deep learning (DL) model to predict DNA mismatch repair (MMR) status in colorectal cancers (CRC) based on hematoxylin and eosin-stained whole-slide images (WSIs) and assess its clinical applicability. METHODS: The DL model was developed and validated through three-f...

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Detalles Bibliográficos
Autores principales: Jiang, Wu, Mei, Wei-Jian, Xu, Shuo-Yu, Ling, Yi-Hong, Li, Wei-Rong, Kuang, Jin-Bo, Li, Hao-Sen, Hui, Hui, Li, Ji-Bin, Cai, Mu-Yan, Pan, Zhi-Zhong, Zhang, Hui-Zhong, Li, Li, Ding, Pei-Rong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9240789/
https://www.ncbi.nlm.nih.gov/pubmed/35753152
http://dx.doi.org/10.1016/j.ebiom.2022.104120

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9240789/
https://www.ncbi.nlm.nih.gov/pubmed/35753152
http://dx.doi.org/10.1016/j.ebiom.2022.104120

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