Data on fundus images for vessels segmentation, detection of hypertensive retinopathy, diabetic retinopathy and papilledema

Data in Brief
Muhammad Usman AkramImran Basit

Abstract

This paper presents a dataset that contains 100 high quality fundus images which are acquired from Armed Forces Institute of Ophthalmology (AFIO), Rawalpindi Pakistan. The dataset has been marked by four expert ophthalmologists to aid clinicians and researchers in screening hypertensive retinopathy, diabetic retinopathy and papilledema cases. Moreover, it contains highly detailed annotations for retinal blood vascular patterns, arteries and veins to calculate arteriovenous ratio (AVR), optic nerve head (ONH) region and other retinal anomalies such as hard exudates and cotton wool spots etc. The dataset is extremely useful for the researchers who are working in the ophthalmic image analysis.

Citations

Jul 31, 2020·Journal of Internal Medicine·M F LandechoA García-Layana
Jul 27, 2021·Data in Brief·Veronica Elisa Castillo BenítezSebastian Alberto Grillo
Jul 9, 2021·Microscopy Research and Technique·Tanzila SabaSaeed Ali Bahaj

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