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

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dc.contributor.authorAkram, Muhammad Usman
dc.contributor.authorAkbar, Shahzad
dc.contributor.authorHassan, Taimur
dc.contributor.authorETAL..
dc.date.accessioned2024-01-30T07:20:55Z
dc.date.available2024-01-30T07:20:55Z
dc.date.issued2020-04-01
dc.description.abstractThis 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. Keywords Fundus images, Optic nerve head, Cotton wool spots, Hard exudates, Vessels segmentation
dc.identifier.citationAkram, M. U., Akbar, S., Hassan, T., Khawaja, S. G., Yasin, U., & Basit, I. (2020). Data on fundus images for vessels segmentation, detection of hypertensive retinopathy, diabetic retinopathy and papilledema. Data in brief, 29, 105282.
dc.identifier.doihttps://doi.org/10.1016/j.dib.2020.105282
dc.identifier.urihttps://dspace.adu.ac.ae/handle/1/528
dc.language.isoen
dc.publisherElsevier
dc.titleData on fundus images for vessels segmentation, detection of hypertensive retinopathy, diabetic retinopathy and papilledema
dc.typeArticle

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