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Dataset . 2021
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Dataset . 2021
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Dataset . 2021
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Dataset . 2021
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Dataset . 2021
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Dataset . 2021
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Dataset . 2021
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Dataset . 2021
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Dataset from fundus images for the study of diabetic retinopathy

Authors: Benítez, Veronica Elisa Castillo; Matto, Ingrid Castro; Román, Julio César Mello; Noguera, José Luis Vázquez; García-Torres, Miguel; Ayala, Jordan; Pinto-Roa, Diego P.; +3 Authors

Dataset from fundus images for the study of diabetic retinopathy

Abstract

This database containing 757 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: 1. No DR signs (187 images), 2. Mild (or early) NPDR (4 images), 3. Moderate NPDR (80 images), 4. Severe NPDR (176 images), 5. Very Severe NPDR (108 images), 6. PDR (88 images) and 7. Advanced PDR (114 images). If you use the dataset, please cite the paper: V. E. Castillo Benítez, I. Castro Matto, J. C. Mello Román, J. L. Vázquez Noguera, M. García-Torres, J. Ayala, D. P. Pinto-Roa, P. E. Gardel-Sotomayor, J. Facon, and S. A. Grillo, Dataset from fundus images for the study of diabetic retinopathy, Data in Brief, vol. 36, p. 107068, Jun. 2021. doi: https://doi.org/10.1016/j.dib.2021.107068

Keywords

Fundus Images, Non-Proliferative Diabetic Retinopathy, Space Science, Chemical Sciences not elsewhere classified, Science Policy, Medicine, Proliferative Diabetic Retinopathy, Cell Biology, Biochemistry, Biotechnology, Biological Sciences not elsewhere classified

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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