Prediction of Survival Status of Locally Advanced Rectal Cancer after Neoadjuvant Chemoradiotherapy Based on Improved Fully Convolutional Networks Model

Prediction of Survival Status of Locally Advanced Rectal Cancer after Neoadjuvant Chemoradiotherapy Based on Improved Fully Convolutional Networks Model

Objective  To explore the model of using after neoadjuvant chemoradiotherapy (nCRT) imaging images of locally advanced rectal cancer (LARC) to predict whether pathological complete response (pCR) is achieved, thereby assisting physicians to develop a personalized plan.  Methods  Patients with LARC t...

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Bibliographic Details
Main Authors: WANG Fang, PANG Xiaolin, FAN Xinjuan
Format: Article
Language:zho
Published: Editorial Office of Medical Journal of Peking Union Medical College Hospital 2022-07-01
Series:Xiehe Yixue Zazhi
Subjects:
locally advanced rectal cancer
neoadjuvant chemoradiotherapy
pathological complete response
deep learning
Online Access:https://xhyxzz.pumch.cn/en/article/doi/10.12290/xhyxzz.2022-0159

Internet

https://xhyxzz.pumch.cn/en/article/doi/10.12290/xhyxzz.2022-0159

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