Artificial Intelligence Based Augmented Reality Navigation in Minimally Invasive Partial Nephrectomy.

Abstract

Authors

• Xiaolei Shi
  Department of Urology, Shanghai Changhai Hospital, Shanghai 200433, China.
• Bo Yang
  Center for Cognition and Brain Disorders, Hangzhou Normal University, Hangzhou, Zhejiang Province 311121, China.
• Fei Guo
  School of Electronic Information Engineering, Tianjin University, Tianjin 300072, China. Electronic address: gfjy001@yahoo.com.
• Chao Zhi
  Department of Urology, Shanghai Changhai Hospital, Shanghai 200433, China.
• Guangan Xiao
  Department of Urology, Shanghai Changhai Hospital, Shanghai 200433, China.
• Lin Zhao
  c Key Laboratory of Birth Defects and Related Diseases of Women and Children (Ministry of Education) , West China Second University Hospital Sichuan University , Chengdu , China.
• Yang Wang
  Department of General Surgery The First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology Kunming China.
• Wei Zhang
  The First Affiliated Hospital of Nanchang University, Nanchang, China.
• Chengwu Xiao
  Department Urology, The First Affiliated Hospital of Naval Medical University, Shanghai, 200433, China.
• Zhenjie Wu
  Department of Urology, Changzheng Hospital, Naval Military Medical University, Shanghai, PR China.
• Linhui Wang
  Department of Urology, Changzheng Hospital, Naval Military Medical University, Shanghai, PR China. Electronic address: wanglinhui@smmu.edu.cn.
• Chao Zhang
  School of Information Engineering, Suqian University, Suqian, Jiangsu, China.

Keywords

External Resources