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Dataset from fundus images for the study of diabetic retinopathy.

Authors :
Castillo Benítez VE
Castro Matto I
Mello Román JC
Vázquez Noguera JL
García-Torres M
Ayala J
Pinto-Roa DP
Gardel-Sotomayor PE
Facon J
Grillo SA
Source :
Data in brief [Data Brief] 2021 Apr 21; Vol. 36, pp. 107068. Date of Electronic Publication: 2021 Apr 21 (Print Publication: 2021).
Publication Year :
2021

Abstract

This article presents a database containing 757 color fundus images acquired at the Department of Ophthalmology of the Hospital de Clínicas, Facultad de Ciencias Médicas (FCM), Universidad Nacional de Asunción (UNA), Paraguay. Firstly, the retinal images were acquired with a clinical procedure presented in this paper. The acquisition of the retinographies was made through the Visucam 500 camera of the Zeiss brand. Next, two expert ophthalmologists have classified the dataset. These data can help physicians and researchers in the detection of cases of Non-Proliferative Diabetic Retinopathy (NPDR) and Proliferative Diabetic Retinopathy (PDR), in their different stages. The dataset generated will be useful for ophthalmologists and researchers to work on automatic detection algorithms for Diabetic Retinopathy (DR).<br />Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (© 2021 The Authors.)

Details

Language :
English
ISSN :
2352-3409
Volume :
36
Database :
MEDLINE
Journal :
Data in brief
Publication Type :
Academic Journal
Accession number :
34307801
Full Text :
https://doi.org/10.1016/j.dib.2021.107068