Deep learning quantified mucus-tumor ratio predicting survival of patients with colorectal cancer using whole-slide images-MedSci.cn

Deep learning quantified mucus-tumor ratio predicting survival of patients with colorectal cancer using whole-slide images

Zhao, K; Wu, L; Huang, YQ; Yao, S; Xu, ZY; Lin, H; Wang, HH; Liang, YT; Xu, Y; Chen, X; Zhao, MN; Peng, JM; Huang, YL; Liang, CH; Li, ZH; Li, Y; Liu, ZY

Liu, ZY (corresponding author), Guangdong Acad Med Sci, Guangdong Prov Peoples Hosp, Dept Radiol, Guangzhou 510080, Peoples R China.; Li, ZH (corresponding author), Kunming Med Univ, Yunnan Canc Hosp, Yunnan Canc Ctr, Dept Radiol,Affiliated Hosp 3, Kunming 650118, Yunnan, Peoples R China.; Li, Y (corresponding author), Guangdong Acad Med Sci, Guangdong Prov Peoples Hosp, Dept Gen Surg, Guangzhou 510080, Peoples R China.

Abstract

Background: In colorectal cancer (CRC), mucinous adenocarcinoma differs from other adenocarcinomas in gene-phenotype, morphology, and prognosis. Howev......

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Deep learning quantified mucus-tumor ratio predicting survival of patients with colorectal cancer using whole-slide images

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