Integrated radiomics, dose-volume histogram criteria and clinical features for early prediction of saliva amount reduction after radiotherapy in nasopharyngeal cancer patients

被引：0
作者：
Lang Zhou
Wanjia Zheng
Sijuan Huang
Xin Yang
机构：
[1] Sun Yat-Sen University Cancer Center,State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy
[2] South China University of Technology,Department of Biomedical Engineering
[3] Southern Theater Air Force Hospital of the People’s Liberation Army,Department of Radiation Oncology
来源：
Discover Oncology | / 13卷
关键词：
Acute xerostomia; Saliva amount prediction; Machine learning; Feature importance;
D O I：
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