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Dataset from fundus images for the study of diabetic retinopathy

Authors :
Veronica Elisa Castillo Benítez
Ingrid Castro Matto
Julio César Mello Román
José Luis Vázquez Noguera
Miguel García-Torres
Jordan Ayala
Diego P. Pinto-Roa
Pedro E. Gardel-Sotomayor
Jacques Facon
Sebastian Alberto Grillo
Source :
Data in Brief, Vol 36, Iss , Pp 107068- (2021)
Publication Year :
2021
Publisher :
Elsevier, 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).

Details

Language :
English
ISSN :
23523409
Volume :
36
Issue :
107068-
Database :
Directory of Open Access Journals
Journal :
Data in Brief
Publication Type :
Academic Journal
Accession number :
edsdoj.0ee34f7c7eda42afad2abf2760784df8
Document Type :
article
Full Text :
https://doi.org/10.1016/j.dib.2021.107068