A deep learning method for prediction of three-dimensional dose distribution of helical tomotherapy.

Abstract

Authors

• Zhiqiang Liu
  Shenzhen Key Laboratory of Reproductive Immunology for Peri-implantation, Shenzhen Zhongshan Institute for Reproductive Medicine and Genetics, Shenzhen, China.
• Jiawei Fan
  Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
• Minghui Li
  MOE Key Laboratory of Geriatric Diseases and Immunology, School of Biology and Basic Medical Sciences, Suzhou Medical College of Soochow University, Suzhou, Jiangsu Province 215123, China.
• Hui Yan
  School of Computer Science and Engineering, Nanjing University of Science and Technology, 210094, China. Electronic address: yanhui@mail.njust.edu.cn.
• Zhihui Hu
  National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 17 Panjiayuannanli, Chaoyang District, Beijing, 100021, China.
• Peng Huang
  College of Food Science, Sichuan Agricultural University, Ya'an 625014, China.
• Yuan Tian
  Department of Geriatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
• Junjie Miao
  National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 17 Panjiayuannanli, Chaoyang District, Beijing, 100021, China.
• Jianrong Dai
  National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

Keywords

External Resources