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DIABETIC RETINOPATHY- FUNDUS IMAGE DATASET(AGAR300)
- Citation Author(s):
- Submitted by:
- Jeba Derwin
- Last updated:
- Wed, 11/11/2020 - 12:07
- DOI:
- 10.21227/fsnq-tn19
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Abstract
Diabetic Retinopathy is the second largest cause of blindness in diabetic patients. Early diagnosis or screening can prevent the visual loss. Nowadays , several computer aided algorithms have been developed to detect the early signs of Diabetic Retinopathy ie., Microaneurysms. The AGAR300 dataset presented here facilitate the researchers for benchmarking MA detection algorithms using digital fundus images. Currently, we have released the first set of database which consists of 28 color fundus images, shows the signs of Microaneurysm. The images were captured in 45-degree field-of-view with resolution of 2448x3264. An article describing the results using AGAR300 was published in Biomedical Signal Processing and Control, Elsevier. This database images can be freely downloaded and used for research purposes with proper citation. The AGAR300 Microaneurysms dataset will be available online and more images can be submitted via this IEEE DataPort in future.
The files corresponding to the work reported in paper titled " A novel automated system of discriminating Microaneurysms in fundus images”. The images are taken from Fundus photography machine with the resolution of 2448x3264. This dataset contains Diabetic Retinopathy images and users of this dataset should cite the following article.
D. Jeba Derwin, S. Tamil Selvi, O. Jeba Singh, B. Priestly Shan,”A novel automated system of discriminating Microaneurysms in fundus images”, Biomedical Signal Processing and Control,Vol.58, 2020, pages: 101839,ISSN 1746-8094, https://doi.org/10.1016/j.bspc.2019.101839.
(http://www.sciencedirect.com/science/article/pii/S1746809419304203)
Dataset Files
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Documentation
Attachment | Size |
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Detailed documentation of AGAR300 dataset | 14.6 KB |
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