Clinical evaluation of deep learning-based clinical target volume three-channel auto-segmentation algorithm for adaptive radiotherapy in cervical cancer.

Abstract

Authors

• Chen-Ying Ma
  Department of Radiation Oncology, First Affiliated Hospital of Soochow University, Suzhou, China.
• Ju-Ying Zhou
  Department of Radiation Oncology, First Affiliated Hospital of Soochow University, Suzhou, China.
• Xiao-Ting Xu
  Department of Radiation Oncology, First Affiliated Hospital of Soochow University, Suzhou, China.
• Song-Bing Qin
  Department of Radiation Oncology, 1st Affiliated Hospital of Soochow University, No. 188 Shizi Street, Suzhou, 215123, China.
• Miao-Fei Han
  Shanghai United Imaging Healthcare, Co. Ltd., Jiading, China.
• Xiao-Huan Cao
  Shanghai United Imaging Healthcare, Co. Ltd., Jiading, 201807, China.
• Yao-Zong Gao
  Shanghai United Imaging Healthcare, Co. Ltd., Jiading, China.
• Lu Xu
  School of Biological Science and Medical Engineering, Beihang University, Beijing, China; Heifei Innovation Research Institute, Beihang University, Hefei, China; Beijing Advanced Innovation Centre for Biomedical Engineering, Beihang University, Beijing, China; Beijing Advanced Innovation Centre for Big Data-Based Precision Medicine, Beihang University, Beijing, China; School of Biomedical Engineering, Anhui Medical University, Heifei, China.
• Jing-Jie Zhou
  Shanghai United Imaging Healthcare, Co. Ltd., Jiading, 201807, China.
• Wei Zhang
  The First Affiliated Hospital of Nanchang University, Nanchang, China.
• Le-Cheng Jia
  United Imaging Research Institute of Innovative Medical Equipment, Shenzhen, 518045, China.

Keywords

External Resources