A blind randomized validated convolutional neural network for auto‐segmentation of clinical target volume in rectal cancer patients receiving neoadjuvant radiotherapy

A blind randomized validated convolutional neural network for auto‐segmentation of clinical target volume in rectal cancer patients receiving neoadjuvant radiotherapy

Abstract Background Delineation of clinical target volume (CTV) for radiotherapy is a time‐consuming and labor‐intensive work. This study aims to propose a novel convolutional neural network (CNN)‐based model for fast auto‐segmentation of CTV. To evaluate its performance and clinical utility, a blin...

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Bibliographic Details
Main Authors: Yijun Wu, Kai Kang, Chang Han, Shaobin Wang, Qi Chen, Yu Chen, Fuquan Zhang, Zhikai Liu
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Cancer Medicine
Subjects:
deep learning
rectal cancer
neoadjuvant radiotherapy
convolutional neural network
clinical evaluation
Online Access:https://doi.org/10.1002/cam4.4441

Internet

https://doi.org/10.1002/cam4.4441

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