Prediction of Radiation Pneumonitis With Dose Distribution: A Convolutional Neural Network (CNN) Based Model

Prediction of Radiation Pneumonitis With Dose Distribution: A Convolutional Neural Network (CNN) Based Model

Radiation pneumonitis (RP) is one of the major side effects of thoracic radiotherapy. The aim of this study is to build a dose distribution based prediction model, and investigate the correlation of RP incidence and high-order features of dose distribution. A convolution 3D (C3D) neural network was...

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Bibliographic Details
Main Authors: Bin Liang, Yuan Tian, Xinyuan Chen, Hui Yan, Lingling Yan, Tao Zhang, Zongmei Zhou, Lvhua Wang, Jianrong Dai
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-01-01
Series:Frontiers in Oncology
Subjects:
convolutional neural network
dose distribution
pneumonitis prediction
dosiomics
deep learning
Online Access:https://www.frontiersin.org/article/10.3389/fonc.2019.01500/full

Internet

https://www.frontiersin.org/article/10.3389/fonc.2019.01500/full

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