Dataset from fundus images for the study of diabetic retinopathy
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
Affiliations
Veronica Elisa Castillo Benítez
Department of Ophthalmology, Hospital de Clínicas, Facultad de Ciencias Médicas, Universidad Nacional de Asunción, San Lorenzo 2160, Paraguay
Ingrid Castro Matto
Department of Ophthalmology, Hospital de Clínicas, Facultad de Ciencias Médicas, Universidad Nacional de Asunción, San Lorenzo 2160, Paraguay
Julio César Mello Román
Corresponding author.; Computer Engineer Department, Universidad Americana, Asunción 1029, Paraguay; Facultad de Ciencias Exactas y Tecnológicas, Universidad Nacional de Concepción, Concepción 8700, Paraguay
José Luis Vázquez Noguera
Computer Engineer Department, Universidad Americana, Asunción 1029, Paraguay
Miguel García-Torres
Computer Engineer Department, Universidad Americana, Asunción 1029, Paraguay; Division of Computer Science, Universidad Pablo de Olavide, ES-41013 Seville, Spain
Jordan Ayala
Computer Engineer Department, Universidad Americana, Asunción 1029, Paraguay
Diego P. Pinto-Roa
Computer Engineer Department, Universidad Americana, Asunción 1029, Paraguay; Facultad Politécnica, Universidad Nacional de Asunción, San Lorenzo 2160, Paraguay
Pedro E. Gardel-Sotomayor
Computer Engineer Department, Universidad Americana, Asunción 1029, Paraguay
Jacques Facon
Department of Computer and Electronics, Universidade Federal do Espírito Santo, São Mateus, Brazil
Sebastian Alberto Grillo
Computer Engineer Department, Universidad Americana, Asunción 1029, Paraguay; Universidad Autónoma de Asunción, Asunción, Paraguay
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).
