Data on OCT and fundus images for the detection of glaucoma

Data on OCT and fundus images for the detection of glaucoma

This paper presents the data set of Optic coherence tomography (OCT) and fundus Images of human eye. The OCT machine TOPCON'S 3D OCT-1000 camera is employed to acquire the images. The dataset is comprised of 50 images which includes control and glaucomatous images. For each OCT Image there is a...

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Main Authors: Hina Raja, M. Usman Akram, Sajid Gul Khawaja, Muhammad Arslan, Aneeqa Ramzan, Noman Nazir
Format: Article
Language:English
Published: Elsevier 2020-04-01
Series:Data in Brief
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340920302365
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spelling doaj-39c03e6acf0942fa85177d6c4c6f62a92020-11-25T02:04:16ZengElsevierData in Brief2352-34092020-04-0129Data on OCT and fundus images for the detection of glaucomaHina Raja0M. Usman Akram1Sajid Gul Khawaja2Muhammad Arslan3Aneeqa Ramzan4Noman Nazir5Dept. of Computer Engineering, National University of Sciences and Technology Islamabad, Pakistan; Corresponding author.Dept. of Computer Engineering, National University of Sciences and Technology Islamabad, PakistanDept. of Computer Engineering, National University of Sciences and Technology Islamabad, PakistanDept. of Mechanical Engineering, National University of Sciences and Technology Islamabad, PakistanDepartment of Electrical Engineering, National University of Technology (NUTech), Islamabad, PakistanArmed Forces Institute of Ophthalmology, Rawalpindi, PakistanThis paper presents the data set of Optic coherence tomography (OCT) and fundus Images of human eye. The OCT machine TOPCON'S 3D OCT-1000 camera is employed to acquire the images. The dataset is comprised of 50 images which includes control and glaucomatous images. For each OCT Image there is a corresponding fundus Image with annotation. Cup to disc ratio (CDR) values annotated by glaucoma specialists through fundus Images are provided in excel file. OCT images are optic nerve head (ONH) centred. Manually annotation is performed for the delineation of the Inner Limiting Membrane (ILM) Layer and Retinal pigmented epithelium (RPE) layer with the help of ophthalmologist. The data is valuable for the development of automated algorithm for glaucoma diagnosis. Keywords: Fundus images, OCT images, Optic nerve head (ONH), Cup to disc ratio (CDR) and glaucomahttp://www.sciencedirect.com/science/article/pii/S2352340920302365
collection DOAJ
language English
format Article
sources DOAJ
author Hina Raja
M. Usman Akram
Sajid Gul Khawaja
Muhammad Arslan
Aneeqa Ramzan
Noman Nazir
spellingShingle Hina Raja
M. Usman Akram
Sajid Gul Khawaja
Muhammad Arslan
Aneeqa Ramzan
Noman Nazir
Data on OCT and fundus images for the detection of glaucoma
Data in Brief
author_facet Hina Raja
M. Usman Akram
Sajid Gul Khawaja
Muhammad Arslan
Aneeqa Ramzan
Noman Nazir
author_sort Hina Raja
title Data on OCT and fundus images for the detection of glaucoma
title_short Data on OCT and fundus images for the detection of glaucoma
title_full Data on OCT and fundus images for the detection of glaucoma
title_fullStr Data on OCT and fundus images for the detection of glaucoma
title_full_unstemmed Data on OCT and fundus images for the detection of glaucoma
title_sort data on oct and fundus images for the detection of glaucoma
publisher Elsevier
series Data in Brief
issn 2352-3409
publishDate 2020-04-01
description This paper presents the data set of Optic coherence tomography (OCT) and fundus Images of human eye. The OCT machine TOPCON'S 3D OCT-1000 camera is employed to acquire the images. The dataset is comprised of 50 images which includes control and glaucomatous images. For each OCT Image there is a corresponding fundus Image with annotation. Cup to disc ratio (CDR) values annotated by glaucoma specialists through fundus Images are provided in excel file. OCT images are optic nerve head (ONH) centred. Manually annotation is performed for the delineation of the Inner Limiting Membrane (ILM) Layer and Retinal pigmented epithelium (RPE) layer with the help of ophthalmologist. The data is valuable for the development of automated algorithm for glaucoma diagnosis. Keywords: Fundus images, OCT images, Optic nerve head (ONH), Cup to disc ratio (CDR) and glaucoma
url http://www.sciencedirect.com/science/article/pii/S2352340920302365
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AT musmanakram dataonoctandfundusimagesforthedetectionofglaucoma
AT sajidgulkhawaja dataonoctandfundusimagesforthedetectionofglaucoma
AT muhammadarslan dataonoctandfundusimagesforthedetectionofglaucoma
AT aneeqaramzan dataonoctandfundusimagesforthedetectionofglaucoma
AT nomannazir dataonoctandfundusimagesforthedetectionofglaucoma
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