Multi-Size Deep Learning Based Preoperative Computed Tomography Signature for Prognosis Prediction of Colorectal Cancer

Multi-Size Deep Learning Based Preoperative Computed Tomography Signature for Prognosis Prediction of Colorectal Cancer

Background: Preoperative and postoperative evaluation of colorectal cancer (CRC) patients is crucial for subsequent treatment guidance. Our study aims to provide a timely and rapid assessment of the prognosis of CRC patients with deep learning according to non-invasive preoperative computed tomograp...

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Bibliographic Details
Main Authors: Cheng-Hang Li, Du Cai, Min-Er Zhong, Min-Yi Lv, Ze-Ping Huang, Qiqi Zhu, Chuling Hu, Haoning Qi, Xiaojian Wu, Feng Gao
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-05-01
Series:Frontiers in Genetics
Subjects:
deep learning
colorectal cancer
prognosis
nomogram
pathway analysis
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2022.880093/full

Internet

https://www.frontiersin.org/articles/10.3389/fgene.2022.880093/full

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