In our database, DeepDR (Deep Diabetic Retinopathy), the fundus images composed of two parts. One part is from the participants in the Shanghai Diabetic Complication Screening Project (SDCSP), Nicheng Diabetes Screening Project (NDSP), and Nationwide Screening for Complications of Diabetes (NSCD) between 2014 and 2017 for regular fundus images. The other part was captured by a retinal specialist at an Eye Clinic located in Department of Ophthalmology, Shanghai Jiao Tong University affiliated Sixth People’s Hospital, China between 2014 to 2017 for regular fundus images and between Jan 2019 to present for ultra-widefield retinal images. From the thousands of examinations available, we have extracted 2000 regular fundus images from 500 patients and 256 ultra-widefield images from another 128 patients to form our dataset.
All 628 patient’s data including 2256 images will be used for the online challenge. We will prepare an additional retinal image from the same source. Onsite dataset provides another 100 patients 400 regular fundus images and 20 patients included 40 ultra-widefield fundus images.
In particular, each of the 600 patients provides four regular fundus images from two eyes. Each eye offers two images: one with the optic disc as the center and another one with the fovea as the center. For the ultra-widefield images, each of the 148 patients provides two images from two eyes. In short, we provide 748 patients data including 2696 images in total.
Experts verified that all images are of adequate quality, clinically relevant, that no image is duplicated and that a reasonable mixture of disease stratification representative of DR is present.