Diabetic Retinopathy Labeling Protocol for the Brazilian Multilabel Ophthalmological Dataset
Luis Filie Nakayama, Mariana Batista Gonçalves, Lucas Zago Ribeiro, Fernando Korn Malerbi, Caio V. Regatieri
Abstract
The grading of diabetic patients within the Brazilian MultilabelOphthalmological Dataset was performed using this diabetic retinopathy(DR) grading protocol developed to align with established DR classifications.DR, a prevalent complication of diabetes, is a leading causeof blindness among working-age adults. Early diagnosis and interventionare crucial for preventing vision loss. Various classification systems, includingthe ICDR and the Scottish Diabetic Retinopathy Classificationscheme, contribute to the classification landscape. This protocol aimedto create a specialized dataset for training and evaluating supervisedartificial intelligence algorithms using retinal fundus photos. The delineationof key retinal findings assumes paramount importance in diagnosis,encompassing microaneurysms, retinal hemorrhages, hard exudates,intraretinal microvascular abnormalities, venous beading, new vessels atthe disc, new vessels elsewhere, fibrous proliferation, pre-retinal and vitreoushemorrhages, and photocoagulation scars.