Application of a deep learning system in glaucoma screening and further classification with colour fundus photographs: a case control study.

Journal: BMC ophthalmology
Published Date:

Abstract

BACKGROUND: To verify efficacy of automatic screening and classification of glaucoma with deep learning system.

Authors

  • Kuo-Hsuan Hung
    Department of Ophthalmology, Chang-Gung Memorial Hospital, Linkou, No.5, Fu-Hsing St., Kuei Shan Hsiang, Tao Yuan Hsien, Taiwan.
  • Yu-Ching Kao
    Muen Biomedical and Optoelectronics Technologies Inc., Taipei, Taiwan.
  • Yu-Hsuan Tang
    Institute of Clinical Medicine, National Yang Ming Chiao Tung University, No.201, Sec.2, Shih-Pai Rd. Peitou, R.O.C, Taipei, 112, Taiwan.
  • Yi-Ting Chen
    Muen Biomedical and Optoelectronics Technologies Inc., New Taipei City, Taiwan.
  • Chuen-Heng Wang
    Muen Biomedical and Optoelectronics Technologies Inc., New Taipei City, Taiwan.
  • Yu-Chen Wang
    Department of Orthodontics, General Hospital of Chinese PLA. Beijing 100853, China. E-mail:andychen19871014@126.com.
  • Oscar Kuang-Sheng Lee
    Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan; Department of Orthopedics, China Medical University Hospital, Taichung, Taiwan. Electronic address: oscarlee9203@gmail.com.