Dataset from fundus images for the study of diabetic retinopathy

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 prese...

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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Data Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8257963/
https://www.ncbi.nlm.nih.gov/pubmed/34307801
http://dx.doi.org/10.1016/j.dib.2021.107068
Descripción
Sumario: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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