Data in Brief (Jun 2021)

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

Journal volume & issue
Vol. 36
p. 107068

Abstract

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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).

Keywords