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

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

Summary: 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 throu...

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Bibliographic Details
Main Authors: Wu Jiang, Wei-Jian Mei, Shuo-Yu Xu, Yi-Hong Ling, Wei-Rong Li, Jin-Bo Kuang, Hao-Sen Li, Hui Hui, Ji-Bin Li, Mu-Yan Cai, Zhi-Zhong Pan, Hui-Zhong Zhang, Li Li, Pei-Rong Ding
Format: Article
Language:English
Published: Elsevier 2022-07-01
Series:EBioMedicine
Subjects:
Colorectal cancer
Mismatch repair-deficient
Deep learning
Screening strategy
Dual-threshold
Online Access:http://www.sciencedirect.com/science/article/pii/S2352396422003012

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http://www.sciencedirect.com/science/article/pii/S2352396422003012

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