CT-based auto-segmentation of multiple target volumes for all-in-one radiotherapy in rectal cancer patients.

Journal: Radiation oncology (London, England)
Published Date:

Abstract

No abstract available for this article.

Authors

  • Xuemin Li
    Department of Ophthalmology, Peking University Third Hospital, Beijing, China.
  • Luqi Wang
    School of Civil and Transportation Engineering, Guangdong University of Technology, Guangzhou, 510006, China.
  • Mengying Yang
    Shanghai United Imaging Healthcare Co., Ltd, Shanghai, 201807, China.
  • Xianan Li
    Institute of Medical Intelligence, Department of Artificial Intelligence, Beijing Key Lab of Traffic Data Analysis and Mining, School of Computer Science & Technology, Beijing Jiaotong University, Beijing 100044, China.
  • Ting Zhao
    Department of Neurology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Henan Province, China.
  • Mingqing Wang
    Cancer Center, Peking University Third Hospital, Beijing, 100191, China.
  • Siyi Lu
    Department of General Surgery, Peking University Third Hospital, Beijing, China.
  • Yunsong Ji
    Department of Oncology, Chengyang People's Hospital, Qingdao, 266109, China.
  • Wei Zhang
    The First Affiliated Hospital of Nanchang University, Nanchang, China.
  • Lecheng Jia
    Shenzhen United Imaging Research Institute of Innovative Medical Equipment, Shenzhen, China. lecheng.jia@cri-united-imaging.com.
  • Ran Peng
    Peking University Third Hospital, Department of Radiation Oncology, Beijing 100191, China. wanghaobysy@bjmu.edu.cn.
  • Junjie Wang
    School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China.
  • Hao Wang
    Department of Cardiology, Second Medical Center, Chinese PLA General Hospital, Beijing, China.

Keywords

No keywords available for this article.