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...

Descripción completa

Detalles Bibliográficos
Autores principales: Raja, Hina, Akram, M. Usman, Khawaja, Sajid Gul, Arslan, Muhammad, Ramzan, Aneeqa, Nazir, Noman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Computer Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7062936/
https://www.ncbi.nlm.nih.gov/pubmed/32181304
http://dx.doi.org/10.1016/j.dib.2020.105342
_version_ 1783504613209538560
author Raja, Hina
Akram, M. Usman
Khawaja, Sajid Gul
Arslan, Muhammad
Ramzan, Aneeqa
Nazir, Noman
author_facet Raja, Hina
Akram, M. Usman
Khawaja, Sajid Gul
Arslan, Muhammad
Ramzan, Aneeqa
Nazir, Noman
author_sort Raja, Hina
collection PubMed
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.
format Online
Article
Text
id pubmed-7062936
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-70629362020-03-16 Data on OCT and fundus images for the detection of glaucoma Raja, Hina Akram, M. Usman Khawaja, Sajid Gul Arslan, Muhammad Ramzan, Aneeqa Nazir, Noman Data Brief Computer Science 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. Elsevier 2020-02-28 /pmc/articles/PMC7062936/ /pubmed/32181304 http://dx.doi.org/10.1016/j.dib.2020.105342 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 Computer Science
Raja, Hina
Akram, M. Usman
Khawaja, Sajid Gul
Arslan, Muhammad
Ramzan, Aneeqa
Nazir, Noman
Data on OCT and fundus images for the detection of glaucoma
title 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_short Data on OCT and fundus images for the detection of glaucoma
title_sort data on oct and fundus images for the detection of glaucoma
topic Computer Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7062936/
https://www.ncbi.nlm.nih.gov/pubmed/32181304
http://dx.doi.org/10.1016/j.dib.2020.105342
work_keys_str_mv AT rajahina dataonoctandfundusimagesforthedetectionofglaucoma
AT akrammusman dataonoctandfundusimagesforthedetectionofglaucoma
AT khawajasajidgul dataonoctandfundusimagesforthedetectionofglaucoma
AT arslanmuhammad dataonoctandfundusimagesforthedetectionofglaucoma
AT ramzananeeqa dataonoctandfundusimagesforthedetectionofglaucoma
AT nazirnoman dataonoctandfundusimagesforthedetectionofglaucoma

Ejemplares similares