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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,...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7057153/ https://www.ncbi.nlm.nih.gov/pubmed/32154339 http://dx.doi.org/10.1016/j.dib.2020.105282 |
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author | Akram, Muhammad Usman Akbar, Shahzad Hassan, Taimur Khawaja, Sajid Gul Yasin, Ubaidullah Basit, Imran |
author_facet | Akram, Muhammad Usman Akbar, Shahzad Hassan, Taimur Khawaja, Sajid Gul Yasin, Ubaidullah Basit, Imran |
author_sort | Akram, Muhammad Usman |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-7057153 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-70571532020-03-09 Data on fundus images for vessels segmentation, detection of hypertensive retinopathy, diabetic retinopathy and papilledema Akram, Muhammad Usman Akbar, Shahzad Hassan, Taimur Khawaja, Sajid Gul Yasin, Ubaidullah Basit, Imran Data Brief Medicine and Dentistry 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. Elsevier 2020-02-24 /pmc/articles/PMC7057153/ /pubmed/32154339 http://dx.doi.org/10.1016/j.dib.2020.105282 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Medicine and Dentistry Akram, Muhammad Usman Akbar, Shahzad Hassan, Taimur Khawaja, Sajid Gul Yasin, Ubaidullah Basit, Imran Data on fundus images for vessels segmentation, detection of hypertensive retinopathy, diabetic retinopathy and papilledema |
title | 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_short | 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 |
topic | Medicine and Dentistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7057153/ https://www.ncbi.nlm.nih.gov/pubmed/32154339 http://dx.doi.org/10.1016/j.dib.2020.105282 |
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