Diabetic retinopathy (DR) is the most prevalent microvascular complication of diabetes mellitus and can lead to irreversible visual loss. Screening programs, based on retinal imaging techniques, are fundamental to detect the disease since the initial stages are asymptomatic. Most of these examinations reflect negative cases and many have poor image quality, representing an important inefficiency factor. The SCREEN-DR project aims to tackle this limitation, by researching and developing computer-aided methods for DR.
A research framework for DR ML Classifiers: Evaluation of image quality Detect the non-pathological cases Automatically grade DR in several scales of severity
CMU, INESC-TEC, ARS-N, CHSJ, BMD, First Solution
April 1, 2016 - December 1, 2020