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

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

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,...

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Main Authors: Muhammad Usman Akram, Shahzad Akbar, Taimur Hassan, Sajid Gul Khawaja, Ubaidullah Yasin, Imran Basit
Format: Article
Language:English
Published: Elsevier 2020-04-01
Series:Data in Brief
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340920301761
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spelling doaj-4373ae2f2b4a4c2ca91193de8a475d5d2020-11-25T03:03:24ZengElsevierData in Brief2352-34092020-04-0129Data on fundus images for vessels segmentation, detection of hypertensive retinopathy, diabetic retinopathy and papilledemaMuhammad Usman Akram0Shahzad Akbar1Taimur Hassan2Sajid Gul Khawaja3Ubaidullah Yasin4Imran Basit5Department of Computer and Software Engineering, National University of Sciences and Technology, Islamabad, PakistanDepartment of Information Technology, Bahauddin Zakariya University, Multan, PakistanDepartment of Computer and Software Engineering, National University of Sciences and Technology, Islamabad, Pakistan; Corresponding author.Department of Computer and Software Engineering, National University of Sciences and Technology, Islamabad, PakistanArmed Forces Institute of Ophthalmology, Rawalpindi, PakistanArmed Forces Institute of Ophthalmology, Rawalpindi, PakistanThis 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 segmentationhttp://www.sciencedirect.com/science/article/pii/S2352340920301761
collection DOAJ
language English
format Article
sources DOAJ
author Muhammad Usman Akram
Shahzad Akbar
Taimur Hassan
Sajid Gul Khawaja
Ubaidullah Yasin
Imran Basit
spellingShingle 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
author_facet Muhammad Usman Akram
Shahzad Akbar
Taimur Hassan
Sajid Gul Khawaja
Ubaidullah Yasin
Imran Basit
author_sort Muhammad Usman Akram
title Data on fundus images for vessels segmentation, detection of hypertensive retinopathy, diabetic retinopathy and papilledema
title_short Data on fundus images for vessels segmentation, detection of hypertensive retinopathy, diabetic retinopathy and papilledema
title_full Data on fundus images for vessels segmentation, detection of hypertensive retinopathy, diabetic retinopathy and papilledema
title_fullStr Data on fundus images for vessels segmentation, detection of hypertensive retinopathy, diabetic retinopathy and papilledema
title_full_unstemmed Data on fundus images for vessels segmentation, detection of hypertensive retinopathy, diabetic retinopathy and papilledema
title_sort data on fundus images for vessels segmentation, detection of hypertensive retinopathy, diabetic retinopathy and papilledema
publisher Elsevier
series Data in Brief
issn 2352-3409
publishDate 2020-04-01
description 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. Keywords: Fundus images, Optic nerve head, Cotton wool spots, Hard exudates, Vessels segmentation
url http://www.sciencedirect.com/science/article/pii/S2352340920301761
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