Development and clinical validation of a deep learning-based knee CT image segmentation method for robotic-assisted total knee arthroplasty.

Abstract

Authors

• Xingyu Liu
  First People's Hospital of Zunyi City, Zunyi, China.
• Songlin Li
  Department of Orthopedics, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
• Xiongfei Zou
  Department of Orthopedic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
• Xi Chen
  Department of Critical care medicine, Shenzhen Hospital, Southern Medical University, Guangdong, Shenzhen, China.
• Hongjun Xu
  Department of Orthopedic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
• Yang Yu
  Division of Cardiology, the Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
• Zhao Gu
  Longwood Valley Medical Technology Co. Ltd, Beijing, China.
• Dong Liu
  Department of Gastrointestinal Surgery, The Third Hospital of Hebei Medical University, Shijiazhuang, China.
• Runchao Li
  Longwood Valley Medical Technology Co Ltd, Beijing, China.
• Yaojiong Wu
  Institute of Biomedical and Health Engineering (iBHE), Tsinghua Shenzhen International Graduate School, Shenzhen, China.
• Guangzhi Wang
  Department of Biomedical Engineering, School of Medicine, Tsinghua University, Room C249, Beijing, 100084, China. Electronic address: wgz-dea@tsinghua.edu.cn.
• Hongen Liao
• Wenwei Qian
  Department of Orthopedic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
• Yiling Zhang
  Department of Otolaryngology Head and Neck Surgery，the Second Xiangya Hospital，Central South University，Changsha，410011，China.

Keywords

External Resources