Application of deep learning image assessment software VeriSee™ for diabetic retinopathy screening.

Journal: Journal of the Formosan Medical Association = Taiwan yi zhi
Published Date: Apr 16, 2020

Abstract

PURPOSE: To develop a deep learning image assessment software VeriSee™ and to validate its accuracy in grading the severity of diabetic retinopathy (DR).

Authors

  • Yi-Ting Hsieh
    Department of Ophthalmology, National Taiwan University Hospital, Taipei, Taiwan.
  • Lee-Ming Chuang
    Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan; College of Medicine, National Taiwan University, Taipei, Taiwan.
  • Yi-Der Jiang
    Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
  • Tien-Jyun Chang
    Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
  • Chung-May Yang
    Department of Ophthalmology, National Taiwan University Hospital, Taipei, Taiwan; College of Medicine, National Taiwan University, Taipei, Taiwan.
  • Chang-Hao Yang
    Department of Ophthalmology, National Taiwan University Hospital, Taipei, Taiwan; College of Medicine, National Taiwan University, Taipei, Taiwan.
  • Li-Wei Chan
    Department of Ophthalmology, National Taiwan University Hospital, Taipei, Taiwan; Department of Ophthalmology, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei, Taiwan.
  • Tzu-Yun Kao
    Department of Ophthalmology, National Taiwan University Hospital, Taipei, Taiwan; Department of Ophthalmology, Shin Kong Wu Ho-Su Memorial Hospital, Taipei, Taiwan.
  • Ta-Ching Chen
    Department of Ophthalmology, National Taiwan University Hospital, Taipei, Taiwan.
  • Hsuan-Chieh Lin
    Department of Ophthalmology, National Taiwan University Hospital, Hsinchu Branch, Hsinchu, Taiwan.
  • Chin-Han Tsai
    Acer Inc., New Taipei, Taiwan.
  • Mingke Chen
    Acer Inc., New Taipei, Taiwan.

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