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

To present and validate a deep ensemble algorithm to detect diabetic retinopathy (DR) and diabetic macular oedema (DMO) using retinal fundus images. A total of 8739 retinal fundus images were collected from a retrospective cohort of 3285 patients. For detecting DR and DMO, a multiple improved Inception-v4 ensembling approach was developed. We measured the algorithm’s performance and made a comparison with that of human experts on our primary...