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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| Format: | Article |
| Language: | English |
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Elsevier
2021-06-01
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| Series: | Data in Brief |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340921003528 |
| _version_ | 1819084031357091840 |
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| author | 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 |
| author_facet | 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 |
| author_sort | Veronica Elisa Castillo Benítez |
| collection | DOAJ |
| description | 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). |
| first_indexed | 2024-12-21T20:42:00Z |
| format | Article |
| id | doaj.art-0ee34f7c7eda42afad2abf2760784df8 |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-12-21T20:42:00Z |
| publishDate | 2021-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-0ee34f7c7eda42afad2abf2760784df82022-12-21T18:50:57ZengElsevierData in Brief2352-34092021-06-0136107068Dataset from fundus images for the study of diabetic retinopathyVeronica Elisa Castillo Benítez0Ingrid Castro Matto1Julio César Mello Román2José Luis Vázquez Noguera3Miguel García-Torres4Jordan Ayala5Diego P. Pinto-Roa6Pedro E. Gardel-Sotomayor7Jacques Facon8Sebastian Alberto Grillo9Department of Ophthalmology, Hospital de Clínicas, Facultad de Ciencias Médicas, Universidad Nacional de Asunción, San Lorenzo 2160, ParaguayDepartment of Ophthalmology, Hospital de Clínicas, Facultad de Ciencias Médicas, Universidad Nacional de Asunción, San Lorenzo 2160, ParaguayCorresponding author.; Computer Engineer Department, Universidad Americana, Asunción 1029, Paraguay; Facultad de Ciencias Exactas y Tecnológicas, Universidad Nacional de Concepción, Concepción 8700, ParaguayComputer Engineer Department, Universidad Americana, Asunción 1029, ParaguayComputer Engineer Department, Universidad Americana, Asunción 1029, Paraguay; Division of Computer Science, Universidad Pablo de Olavide, ES-41013 Seville, SpainComputer Engineer Department, Universidad Americana, Asunción 1029, ParaguayComputer Engineer Department, Universidad Americana, Asunción 1029, Paraguay; Facultad Politécnica, Universidad Nacional de Asunción, San Lorenzo 2160, ParaguayComputer Engineer Department, Universidad Americana, Asunción 1029, ParaguayDepartment of Computer and Electronics, Universidade Federal do Espírito Santo, São Mateus, BrazilComputer Engineer Department, Universidad Americana, Asunción 1029, Paraguay; Universidad Autónoma de Asunción, Asunción, ParaguayThis 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).http://www.sciencedirect.com/science/article/pii/S2352340921003528Fundus imagesNon-proliferative diabetic retinopathyProliferative diabetic retinopathy |
| spellingShingle | 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 Dataset from fundus images for the study of diabetic retinopathy Data in Brief Fundus images Non-proliferative diabetic retinopathy Proliferative diabetic retinopathy |
| title | Dataset from fundus images for the study of diabetic retinopathy |
| title_full | Dataset from fundus images for the study of diabetic retinopathy |
| title_fullStr | Dataset from fundus images for the study of diabetic retinopathy |
| title_full_unstemmed | Dataset from fundus images for the study of diabetic retinopathy |
| title_short | Dataset from fundus images for the study of diabetic retinopathy |
| title_sort | dataset from fundus images for the study of diabetic retinopathy |
| topic | Fundus images Non-proliferative diabetic retinopathy Proliferative diabetic retinopathy |
| url | http://www.sciencedirect.com/science/article/pii/S2352340921003528 |
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