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Dataset from fundus images for the study of diabetic retinopathy.
Castillo Benítez, Veronica Elisa; Castro Matto, Ingrid; Mello Román, Julio César; Vázquez Noguera, José Luis; García-Torres, Miguel; Ayala, Jordan; Pinto-Roa, Diego P; Gardel-Sotomayor, Pedro E; Facon, Jacques; Grillo, Sebastian Alberto.
Afiliación
  • Castillo Benítez VE; Department of Ophthalmology, Hospital de Clínicas, Facultad de Ciencias Médicas, Universidad Nacional de Asunción, San Lorenzo 2160, Paraguay.
  • Castro Matto I; Department of Ophthalmology, Hospital de Clínicas, Facultad de Ciencias Médicas, Universidad Nacional de Asunción, San Lorenzo 2160, Paraguay.
  • Mello Román JC; Computer Engineer Department, Universidad Americana, Asunción 1029, Paraguay.
  • Vázquez Noguera JL; Facultad de Ciencias Exactas y Tecnológicas, Universidad Nacional de Concepción, Concepción 8700, Paraguay.
  • García-Torres M; Computer Engineer Department, Universidad Americana, Asunción 1029, Paraguay.
  • Ayala J; Computer Engineer Department, Universidad Americana, Asunción 1029, Paraguay.
  • Pinto-Roa DP; Division of Computer Science, Universidad Pablo de Olavide, ES-41013 Seville, Spain.
  • Gardel-Sotomayor PE; Computer Engineer Department, Universidad Americana, Asunción 1029, Paraguay.
  • Facon J; Computer Engineer Department, Universidad Americana, Asunción 1029, Paraguay.
  • Grillo SA; Facultad Politécnica, Universidad Nacional de Asunción, San Lorenzo 2160, Paraguay.
Data Brief ; 36: 107068, 2021 Jun.
Article en En | MEDLINE | ID: mdl-34307801
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).
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Data Brief Año: 2021 Tipo del documento: Article País de afiliación: Paraguay

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Data Brief Año: 2021 Tipo del documento: Article País de afiliación: Paraguay