Multimodal Machine Learning Using Visual Fields and Peripapillary Circular OCT Scans in Detection of Glaucomatous Optic Neuropathy.

Journal: Ophthalmology
Published Date:

Abstract

PURPOSE: To develop and validate a multimodal artificial intelligence algorithm, FusionNet, using the pattern deviation probability plots from visual field (VF) reports and circular peripapillary OCT scans to detect glaucomatous optic neuropathy (GON).

Authors

  • Jian Xiong
    School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China; Department of Communication Engineering, Chengdu Technological University, Chengdu 611731, China.
  • Fei Li
    Institute for Precision Medicine, Tsinghua University, Beijing, China.
  • Diping Song
    ShenZhen Key Lab of Computer Vision and Pattern Recognition, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, People's Republic of China; University of Chinese Academy of Sciences, Beijing, People's Republic of China.
  • Guangxian Tang
    The First Hospital of Shijiazhuang City, Shijiazhuang, People's Republic of China.
  • Junjun He
    ShenZhen Key Lab of Computer Vision and Pattern Recognition, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, People's Republic of China; Shanghai AI Laboratory, Shanghai, People's Republic of China; Shanghai Jiao Tong University, Shanghai, People's Republic of China.
  • Kai Gao
    College of Intelligence Science and Technology, National University of Defense Technology, Changsha, Hunan, China.
  • Hengli Zhang
    The First Hospital of Shijiazhuang City, Shijiazhuang, People's Republic of China.
  • Weijing Cheng
    State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, People's Republic of China.
  • Yunhe Song
    State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, People's Republic of China.
  • Fengbin Lin
    State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, People's Republic of China.
  • Kun Hu
    State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, People's Republic of China.
  • Peiyuan Wang
  • Ji-Peng Olivia Li
    Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom.
  • Tin Aung
    Singapore Eye Research Institute, Singapore National Eye Center, Singapore.
  • Yu Qiao
    Department of English and American Studies, RWTH Aachen University, Aachen, North Rhine-Westphalia, Germany.
  • Xiulan Zhang
    Zhongshan Ophthalmic Center, Sun Yat-sen University, China. Electronic address: zhangxl2@mail.sysu.edu.cn.
  • Daniel Ting
    Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.