An Automated Grading System for Detection of Vision-Threatening Referable Diabetic Retinopathy on the Basis of Color Fundus Photographs
Zhixi Li, Stuart Keel, Chi Liu, Yifan He, Wei Meng, Jane Scheetz, Pei Ying Lee, Jonathan Shaw, Daniel Ting, Tien Yin Wong, Hugh Taylor, Robert Chang, Mingguang He
Diabetes Care | AMER DIABETES ASSOC | Published : 2018
Awarded by National Natural Science Foundation of China
Awarded by Science and Technology Planning Project of Guangdong Province
This study was supported in part by the Fundamental Research Funds of the State Key Laboratory of Ophthalmology, National Natural Science Foundation of China (grant no. 81420108008); the Science and Technology Planning Project of Guangdong Province (grant no. 2013B20400003); and the Bupa Health Foundation (Australia grant). J.Sh. is supported by a research fellowship from the National Health and Medical Research Council. M.H. receives support from the Research Accelerator Program at the University of Melbourne and from the CERA Foundation. The Centre for Eye Research Australia receives operational infrastructure support from the Victorian State Government, and Research to Prevent Blindness, Inc., provides support to the Stanford University Department of Ophthalmology.The sponsor or funding organizations had no role in the design or conduct of this research.