Journal of Clinical and Experimental Ophthalmology
Open Access
ISSN: 2155-9570
ISSN: 2155-9570
Tunde Peto
United Kingdom
Research Article
Automated detection of Diabetic Retinopathy in Three European Populations
Author(s): Morten B. Hansen, Hongying Lilian Tang, Su Wang, Lutfiah Al Turk, Rita Piermarocchi, Martynas Speckauskas, Hans-Werner Hense, Irene Leung and Tunde PetoMorten B. Hansen, Hongying Lilian Tang, Su Wang, Lutfiah Al Turk, Rita Piermarocchi, Martynas Speckauskas, Hans-Werner Hense, Irene Leung and Tunde Peto
Objective: Currently 1/12 of the world’s population has diabetes mellitus (DM), many are or will be screened by having retinal images taken. This current study aims to compare the DAPHNE software’s ability to detect DR in three different European populations compared to human grading carried out at the Moorfields Eye Hospital Reading Centre (MEHRC). Participants: Retinal images were taken from participants of the HAPIEE study (Lithuania, n=1014), the PAMDI study (Italy, n=882) and the MARS study (Germany, n=909). Methods: All anonymized images were graded by human graders at MEHRC for the presence of DR. Independently, and without any knowledge of the human grader’s results, the DAPHNE software analysed the images and divided the participants into DR and no-DR groups. Main outcome measures: The primary outcomes were sensitivity, specificity, positive predictive value.. View More»
DOI:
10.4172/2155-9570.1000582