Machine Learning Models for Diagnosing Glaucoma from Retinal Nerve Fiber Layer Thickness Maps.

Abstract

Authors

• Peiyu Wang
  Department of Biomedical Engineering, University of Southern California, Los Angeles, California.
• Jian Shen
  Obstetric, Centre Hospital of Wuhan, Huazhong University of Science and Technology, Wuhan, Hubei, 430014, People's Republic of China.
• Ryuna Chang
  USC Roski Eye Institute, Keck School of Medicine, University of Southern California, Los Angeles, California.
• Maemae Moloney
  Department of Neuroscience, University of Southern California, Los Angeles, California.
• Mina Torres
  Southern California Eyecare and Vision Research Institute, CHA Hollywood Presbyterian Medical Center, Los Angeles, California.
• Bruce Burkemper
  USC Roski Eye Institute, Keck School of Medicine, University of Southern California, Los Angeles, California.
• Xuejuan Jiang
  USC Roski Eye Institute, Keck School of Medicine, University of Southern California, Los Angeles, California.
• Damien Rodger
  USC Roski Eye Institute, Keck School of Medicine, University of Southern California, Los Angeles, California.
• Rohit Varma
  University of Southern California Gayle and Edward Roski Eye Institute, Los Angeles, California.
• Grace M Richter
  USC Roski Eye Institute, Keck School of Medicine, University of Southern California, Los Angeles, California. Electronic address: grace.richter@med.usc.edu.

Keywords

External Resources