Deep learning-based analysis of infrared fundus photography for automated diagnosis of diabetic retinopathy with cataracts.

Journal: Journal of cataract and refractive surgery
Published Date:

Abstract

PURPOSE: To develop deep learning-based networks for the diagnosis of diabetic retinopathy (DR) with cataracts based on infrared fundus images.

Authors

  • Wenwen Xue
    From the Department of Ophthalmology, Shanghai Eye Disease Prevention & Treatment Center, Shanghai, China (Xue, Zou); Department of Ophthalmology, Shanghai General Hospital; National Clinical Research Center for Eye Diseases; Shanghai Key Laboratory of Ocular Fundus Diseases; Shanghai Engineering Center for Visual Science and Photomedicine; Shanghai Engineering Research Center of Precise Diagnosis and Treatment of Eye Diseases, Shanghai, China (Zhang, Ma, Zou); School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China (Hou, Feng); Academy for Engineering and Technology, Fudan University, Shanghai, China (Xiao, Feng, Zhao).
  • Juzhao Zhang
  • Yingyan Ma
  • Junlin Hou
  • Fan Xiao
    School of Biomedical Engineering, Southern Medical University, Guangzhou, People's Republic of China.
  • Rui Feng
    Department of Pharmacy, The Fourth Hospital of Hebei Medical University Shijiazhuang 050000, Hebei, China.
  • Ruiwei Zhao
  • Haidong Zou
    Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai, China.