Assessment of clinical feasibility:offline adaptive radiotherapy for lung cancer utilizing kV iCBCT and UNet++ based deep learning model.

Abstract

Authors

• Hongwei Zeng
  Department of Radiotherapy, Shuguang Hospital Affiliated to Shanghai University of Chinese Traditional Medicine, Shanghai, China.
• Qi Chen
  Department of Gastroenterology, Jining First People's Hospital, Jining, China.
• Xiangyu E
  Department of Radiotherapy, Shuguang Hospital Affiliated to Shanghai University of Chinese Traditional Medicine, Shanghai, China.
• Yue Feng
  Nursing School, Sichuan University, China.
• Minghe Lv
  Department of Radiotherapy, Shuguang Hospital Affiliated to Shanghai University of Chinese Traditional Medicine, Shanghai, China.
• Su Zeng
  Laboratory of Pharmaceutical Analysis and Drug Metabolism, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China.
• Wenhao Shen
  Department of Radiotherapy, Shuguang Hospital Affiliated to Shanghai University of Chinese Traditional Medicine, Shanghai, China.
• Wenhui Guan
  Department of Radiotherapy, Shuguang Hospital Affiliated to Shanghai University of Chinese Traditional Medicine, Shanghai, China.
• Yang Zhang
  Innovative Institute of Chinese Medicine and Pharmacy, Academy for Interdiscipline, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
• Ruping Zhao
  Center for Radiation Oncology, Affiliated Hangzhou Cancer Hospital, Zhejiang University School of Medicine, Hangzhou 310001, China.
• Shaobin Wang
  MedMind Technology Co., Ltd., Beijing 100080, China.
• Jingping Yu
  Department of Radiotherapy, Shuguang Hospital Affiliated to Shanghai University of Chinese Traditional Medicine, Shanghai, China.

Keywords

External Resources