Deep Learning-Aided Automatic Contouring of Clinical Target Volumes for Radiotherapy in Breast Cancer After Modified Radical Mastectomy

Deep Learning-Aided Automatic Contouring of Clinical Target Volumes for Radiotherapy in Breast Cancer After Modified Radical Mastectomy

Purpose: The aim of this study is to develop a practicable automatic clinical target volume (CTV) delineation method for radiotherapy of breast cancer after modified radical mastectomy.Methods: Unlike breast conserving surgery, the radiotherapy CTV for modified radical mastectomy involves several re...

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Bibliographic Details
Main Authors: Jinqiang You, Qingxin Wang, Ruoxi Wang, Qin An, Jing Wang, Zhiyong Yuan, Jun Wang, Haibin Chen, Ziye Yan, Jun Wei, Wei Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-01-01
Series:Frontiers in Physics
Subjects:
modified radical mastectomy breast cancer surgery
auto-contouring
deep learning
clinical target volume
radiotherapy
Online Access:https://www.frontiersin.org/articles/10.3389/fphy.2021.754248/full

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