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