Automatic Segmentation of Clinical Target Volumes for Post-Modified Radical Mastectomy Radiotherapy Using Convolutional Neural Networks

Automatic Segmentation of Clinical Target Volumes for Post-Modified Radical Mastectomy Radiotherapy Using Convolutional Neural Networks

BackgroundThis study aims to construct and validate a model based on convolutional neural networks (CNNs), which can fulfil the automatic segmentation of clinical target volumes (CTVs) of breast cancer for radiotherapy.MethodsIn this work, computed tomography (CT) scans of 110 patients who underwent...

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Bibliographic Details
Main Authors: Zhikai Liu, Fangjie Liu, Wanqi Chen, Xia Liu, Xiaorong Hou, Jing Shen, Hui Guan, Hongnan Zhen, Shaobin Wang, Qi Chen, Yu Chen, Fuquan Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-02-01
Series:Frontiers in Oncology
Subjects:
convolutional neural network
automatic segmentation
clinical target volume
breast cancer radiotherapy
clinical evaluation
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2020.581347/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2020.581347/full

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