Data on Fundus Images for Vessels Segmentation, Detection of Hypertensive Retinopathy, Diabetic Retinopathy and Papilledema

Published: 27 March 2020| Version 2 | DOI: 10.17632/3csr652p9y.2
Contributors:
Shahzad Akbar,
usman akram,
Taimur Hassan,
Ubaidullah Yasin,
Imran Basit

Description

We presents a dataset of 100 fundus digital images of retina. The retinal images are taken from Armed Forces Institute of Ophthalmology (AFIO), Rawalpindi, Pakistan and annotated with the help of four expert ophthalmologists for the purpose of computer aided diagnosis of hypertensive retinopaty, diabetic retinopathy and papilledema. This dataset contains retinal blood vessels network, segmented artery/ vein network to calculate Arteriovenous Ratio (AVR), annotation of Optic Nerve Head (ONH) and various retinal abnormalities such as hard exudates (HE) and cotton wool spots. The dataset is valuable for those researchers who are developing automated systems for vessels segmentation, artery/ vein classification, diagnosis of hypertensive retinopathy, diabetic retinopathy and papilledema. Please cite the following article if you want to use this dataset: Muhammad Usman Akram, Shahzad Akbar, Taimur Hassan, Sajid Gul Khawaja, Ubaidullah Yasin, Imran Basit, "Data on fundus images for vessels segmentation, detection of hypertensive retinopathy, diabetic retinopathy and papilledema", Data in Brief, Volume 29, 105282, ISSN 2352-3409, 2020.

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Institutions

National University of Sciences and Technology

Categories

Retina, Hypertensive Retinopathy, Diabetic Retinopathy, Fundus Imaging

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