Grading of Foveal Hypoplasia Using Deep Learning on Retinal Fundus Images.

Journal: Translational vision science & technology
Published Date:

Abstract

PURPOSE: This study aimed to develop and evaluate a deep learning model for grading foveal hypoplasia using retinal fundus images.

Authors

  • Tsung-Ying Tsai
    Department of Cardiology, University of Galway, Galway, Ireland
  • Ying-Feng Chang
    Artificial Intelligence Research Center, Chang Gung University, Kweishan District, Taoyuan City 33302, Taiwan.
  • Eugene Yu-Chuan Kang
    Department of Ophthalmology, Chang Gung Memorial Hospital and College of Medicine, Chang Gung University, Taoyuan, Taiwan.
  • Kuan-Jen Chen
    Department of Ophthalmology, Chang Gung Memorial Hospital, Taoyuan, Taiwan, 333.
  • Nan-Kai Wang
    Department of Ophthalmology, Chang Gung Memorial Hospital, Taoyuan, Taiwan, 333.
  • Laura Liu
    Department of Ophthalmology, Chang Gung Memorial Hospital, Taoyuan, Taiwan.
  • Yih-Shiou Hwang
    Department of Ophthalmology, Chang Gung Memorial Hospital, Taoyuan, Taiwan, 333.
  • Chi-Chun Lai
    Department of Ophthalmology, Chang Gung Memorial Hospital, Taoyuan, Taiwan, 333.
  • Sin-You Chen
    Artificial Intelligence Research Center, Chang Gung University, Kweishan District, Taoyuan City 33302, Taiwan.
  • Jenhui Chen
    Artificial Intelligence Research Center, Chang Gung University, Kweishan District, Taoyuan City 33302, Taiwan.
  • Chao-Sung Lai
    Artificial Intelligence Research Center, Chang Gung University, Kweishan District, Taoyuan City 33302, Taiwan.
  • Wei-Chi Wu
    Department of Ophthalmology, Chang Gung Memorial Hospital, Taoyuan, Taiwan, 333. weichi666@gmail.com.