A clinical decision model based on machine learning for ptosis.

Journal: BMC ophthalmology
Published Date: Apr 9, 2021

Abstract

BACKGROUND: To establish a decision model based on two- (2D) and three-dimensional (3D) eye data of patients with ptosis for developing personalized surgery plans.

Authors

  • Xuefei Song
    Department of Ophthalmology, Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
  • Weilin Tong
    School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China.
  • Chaoyu Lei
    Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Jingxuan Huang
    College of Computer Science and Technology, and Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun 130012, China.
  • Xianqun Fan
    Department of Ophthalmology, Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
  • Guangtao Zhai
    Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China. zhaiguangtao@sjtu.edu.cn.
  • Huifang Zhou
    Department of Neurology, Xiangya Hospital, Central South University, Jiangxi, Nanchang, 330006, Jiangxi, China.

Keywords

External Resources

Popular Topics
Recent Journals