Automated Screening for Diabetic Retinopathy – A Systematic Review
Author(s) -
Mads Fonager Nørgaard,
Jakob Grauslund
Publication year - 2018
Publication title -
ophthalmic research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.893
H-Index - 54
eISSN - 1423-0259
pISSN - 0030-3747
DOI - 10.1159/000486284
Subject(s) - medicine , diabetic retinopathy , cochrane library , diabetes mellitus , blindness , medline , meta analysis , ophthalmology , optometry , endocrinology , political science , law
Worldwide ophthalmologists are challenged by the rapid rise in the prevalence of diabetes. Diabetic retinopathy (DR) is the most common complication in diabetes, and possible consequences range from mild visual impairment to blindness. Repetitive screening for DR is cost-effective, but it is also a costly and strenuous affair. Several studies have examined the application of automated image analysis to solve this problem. Large populations are needed to assess the efficacy of such programs, and a standardized and rigorous methodology is important to give an indication of system performance in actual clinical settings.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom