Dataset from fundus images for the study of diabetic retinopathy

  1. Benítez, Veronica Elisa Castillo 1
  2. Matto, Ingrid Castro 1
  3. Román, Julio César Mello 2
  4. Noguera, José Luis Vázquez 3
  5. García-Torres, Miguel 4
  6. Ayala, Jordan 3
  7. Pinto-Roa, Diego P. 5
  8. Gardel-Sotomayor, Pedro E. 3
  9. Facon, Jacques 6
  10. Grillo, Sebastian Alberto 7
  1. 1 Department of Ophthalmology, Hospital de Clínicas, Facultad de Ciencias Médicas, Universidad Nacional de Asunción, San Lorenzo 2160, Paraguay
  2. 2 Facultad de Ciencias Exactas y Tecnológicas, Universidad Nacional de Concepción, Concepción 8700, Paraguay
  3. 3 Computer Engineer Department, Universidad Americana, Asunción 1029, Paraguay
  4. 4 Division of Computer Science, Universidad Pablo de Olavide, ES-41013 Seville, Spain
  5. 5 Facultad Politécnica, Universidad Nacional de Asunción, San Lorenzo 2160, Paraguay
  6. 6 Department of Computer and Electronics, Universidade Federal do Espírito Santo, São Mateus, Brazil
  7. 7 Universidad Autónoma de Asunción, Asunción, Paraguay

Éditeur: Zenodo

Année de publication: 2021

Type: Dataset

Résumé

This database containing 396 color fundus images that were acquired at the Department of Ophthalmology of the Hospital de Clínicas, Facultad de Ciencias Médicas, Universidad Nacional de Asunción, Paraguay. The acquisition of retinal images was done taking into account a clinical procedure. The acquisition of the retinographies was made through the Visucam 500 camera of the Zeiss brand. Expert ophthalmologists have classified the dataset. These data can help doctors and researchers in the detection of cases of Non-Proliferative Diabetic Retinopathy (NPDR) and Proliferative Diabetic Retinopathy (PDR), in their different stages. The classification of fundus images have been done in 7 categories: i) No DR signs (20 images), ii) mild NPDR (4 images), iii) moderate NPDR (58 images), iv) severe NPDR (92 images), v) very severe NPDR (83 images), vi) PDR (70 images) and vii) Advanced PDR (69 images).