Acronym
SCREEN-DR
Synopsis / Objectives
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.
Main Achievements
A research framework for DR ML Classifiers: Evaluation of image quality Detect the non-pathological cases Automatically grade DR in several scales of severity Interconnection of two public services under different Ministries; Harmonization of procedures
Project Coordinator
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Partners
CMU, INESC-TEC, ARS-N, CHSJ, BMD, First Solution
Funded by
Start date
06/05/2024
End date
01/12/2020