Dataset from fundus images for the study of diabetic retinopathy.

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URI
http://hdl.handle.net/20.500.14066/3796
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Author(s)
Castillo, Veronica Elisa; Castro Matto, Ingrid; Mello Román, Julio César; Vázquez Noguera, José LuisCONACYT Authority; García Torres, Miguel; Ayala, Jordan; Pinto Roa, Diego PedroCONACYT Authority; Gardel, Pedro EstebanCONACYT Authority; Facon, Jacques; Grillo, Sebastián AlbertoCONACYT Authority
Date of publishing
2021
Type of publication
research article
Subject(s)
Abstract
This article presents a database containing 757 color fun dus 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 Retinopa thy (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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