[Qiu, Xiaoping] School of Nuclear Science and Technology, University of South China, Hunan, Hengyang, China
[Bai, Penggang] Department of Radiation Oncology, Fujian Cancer Hospital, Fujian, Fuzhou, China
[Chen, Yanyu] School of Nuclear Science and Technology, University of South China, Hunan, Hengyang, China<&wdkj&>Department of Radiation Oncology, Fujian Cancer Hospital, Fujian, Fuzhou, China
语种：
英文
期刊：
ACM International Conference Proceeding Series
年：
2021
页码：
383-387
会议名称：
2nd International Symposium on Artificial Intelligence for Medicine Sciences, ISAIMS 2021
Objective: An artificial neural network model is used to predict the dose information of radiation treatment planning for nasopharyngeal carcinoma. Methods: Retrospective analysis of 114 cases of nasopharyngeal carcinoma treated with radiation therapy in Fujian Cancer Hospital. The geometric spatial relationship features between the 25 organs at risk (OAR) and the target area were transformed from three-dimensional information to two-dimensional information by overlap volume histogram (OVH). 81 cases were used for training to obtain an dose pre...
