Endoscopy-Based Deep Convolutional Neural Network Predicts Response to Neoadjuvant Treatment for Locally Advanced Rectal Cancer

Endoscopy-Based Deep Convolutional Neural Network Predicts Response to Neoadjuvant Treatment for Locally Advanced Rectal Cancer

Background and Aims: Although the wait and watch (W&W) strategy is a treatment choice for locally advanced rectal cancer (LARC) patients who achieve clinical complete response (cCR) after neoadjuvant therapy (NT), the issue on consistency between cCR and pathological CR (pCR) remains unsettl...

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Bibliographic Details
Main Authors: Xijie Chen, Junguo Chen, Xiaosheng He, Liang Xu, Wei Liu, Dezheng Lin, Yuxuan Luo, Yue Feng, Lei Lian, Jiancong Hu, Ping Lan
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-04-01
Series:Frontiers in Physiology
Subjects:
treatment response
endoscopy
deep convolutional neural network
rectal cancer
neoadjuvant therapy
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2022.880981/full

Internet

https://www.frontiersin.org/articles/10.3389/fphys.2022.880981/full

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