Analysis of EPID Transmission Fluence Maps Using Machine Learning Models and CNN for Identifying Position Errors in the Treatment of GO Patients

Analysis of EPID Transmission Fluence Maps Using Machine Learning Models and CNN for Identifying Position Errors in the Treatment of GO Patients

PurposeTo find a suitable method for analyzing electronic portal imaging device (EPID) transmission fluence maps for the identification of position errors in the in vivo dose monitoring of patients with Graves’ ophthalmopathy (GO).MethodsPosition errors combining 0-, 2-, and 4-mm errors in the left-...

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Bibliographic Details
Main Authors: Guyu Dai, Xiangbin Zhang, Wenjie Liu, Zhibin Li, Guangyu Wang, Yaxin Liu, Qing Xiao, Lian Duan, Jing Li, Xinyu Song, Guangjun Li, Sen Bai
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-09-01
Series:Frontiers in Oncology
Subjects:
EPID transmission fluence
radiomics
SSIM
machine learning
CNN
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.721591/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2021.721591/full

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