An Adversarial Deep-Learning-Based Model for Cervical Cancer CTV Segmentation With Multicenter Blinded Randomized Controlled Validation

An Adversarial Deep-Learning-Based Model for Cervical Cancer CTV Segmentation With Multicenter Blinded Randomized Controlled Validation

PurposeTo propose a novel deep-learning-based auto-segmentation model for CTV delineation in cervical cancer and to evaluate whether it can perform comparably well to manual delineation by a three-stage multicenter evaluation framework.MethodsAn adversarial deep-learning-based auto-segmentation mode...

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Bibliographic Details
Main Authors: Zhikai Liu, Wanqi Chen, Hui Guan, Hongnan Zhen, Jing Shen, Xia Liu, An Liu, Richard Li, Jianhao Geng, Jing You, Weihu Wang, Zhouyu Li, Yongfeng Zhang, Yuanyuan Chen, Junjie Du, Qi Chen, Yu Chen, Shaobin Wang, Fuquan Zhang, Jie Qiu
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-08-01
Series:Frontiers in Oncology
Subjects:
deep-learning
auto-segmentation
evaluation
cervical cancer
radiotherapy
clinical target volume
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.702270/full

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https://www.frontiersin.org/articles/10.3389/fonc.2021.702270/full

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