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

PURPOSE: To 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). METHODS: Position errors combining 0-, 2-, and 4-mm errors in the...

Descripción completa

Detalles Bibliográficos
Autores principales: Dai, Guyu, Zhang, Xiangbin, Liu, Wenjie, Li, Zhibin, Wang, Guangyu, Liu, Yaxin, Xiao, Qing, Duan, Lian, Li, Jing, Song, Xinyu, Li, Guangjun, Bai, Sen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8476908/
https://www.ncbi.nlm.nih.gov/pubmed/34595115
http://dx.doi.org/10.3389/fonc.2021.721591

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8476908/
https://www.ncbi.nlm.nih.gov/pubmed/34595115
http://dx.doi.org/10.3389/fonc.2021.721591

Ejemplares similares