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

Muhammad Usman Akram; Shahzad Akbar; Taimur Hassan; Sajid Gul Khawaja; Ubaidullah Yasin; Imran Basit

doi:10.1016/j.dib.2020.105282

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

Muhammad Usman Akram
, Shahzad Akbar
, Taimur Hassan^*
, Sajid Gul Khawaja
, Ubaidullah Yasin
, Imran Basit

^*Corresponding author for this work

Bahauddin Zakariya University
National University of Sciences and Technology Pakistan
Combined Military Hospital

Research output: Contribution to journal › Article › peer-review

46 Citations (Scopus)

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.

Original language	English
Article number	105282
Number of pages	4
Journal	Data in Brief
Volume	29
Early online date	24 Feb 2020
DOIs	https://doi.org/10.1016/j.dib.2020.105282
Publication status	Published - 1 Apr 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Cotton wool spots
Fundus images
Hard exudates
Optic nerve head
Vessels segmentation

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10.1016/j.dib.2020.105282Licence: CC BY 4.0

Cite this

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

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.",

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T1 - Data on fundus images for vessels segmentation, detection of hypertensive retinopathy, diabetic retinopathy and papilledema

AU - Akram, Muhammad Usman

AU - Akbar, Shahzad

AU - Hassan, Taimur

AU - Khawaja, Sajid Gul

AU - Yasin, Ubaidullah

AU - Basit, Imran

PY - 2020/4/1

Y1 - 2020/4/1

N2 - 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.

AB - 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.

KW - Cotton wool spots

KW - Fundus images

KW - Hard exudates

KW - Optic nerve head

KW - Vessels segmentation

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DO - 10.1016/j.dib.2020.105282

M3 - Article

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VL - 29

JO - Data in Brief

JF - Data in Brief

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ER -

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

Abstract

UN SDGs

Keywords

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