Deep learning-based automated detection for diabetic retinopathy and diabetic macular oedema in retinal fundus photographs.

Abstract

Authors

• Feng Li
  Department of General Surgery, Shanghai Traditional Chinese Medicine (TCM)-INTEGRATED Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai, China.
• Yuguang Wang
  School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China.
• Tianyi Xu
  Deparement of Anesthesia, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China.
• Lin Dong
  Environmental Exposures Vascular Disease Institute, Shanxi Medical University, Taiyuan, Shanxi, China.
• Lei Yan
  School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China.
• Minshan Jiang
  School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China. jiangmsc@gmail.com.
• Xuedian Zhang
  School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China.
• Hong Jiang
  Department of Neurosurgery, Rui-Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
• Zhizheng Wu
  Department of Precision Mechanical Engineering, Shanghai University, Shanghai, 200072, China.
• 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.

Keywords

External Resources