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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,...

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Detalles Bibliográficos
Autores principales: Akram, Muhammad Usman, Akbar, Shahzad, Hassan, Taimur, Khawaja, Sajid Gul, Yasin, Ubaidullah, Basit, Imran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
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
Descripción
Sumario: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.