Data on OCT and fundus images for the detection of glaucoma

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dc.contributor.authorRaja, Hina
dc.contributor.authorAkram, M Usman
dc.contributor.authorKhawaja, Sajid Gul
dc.contributor.authorArslan, Muhammad
dc.contributor.authorRamzan, Aneeqa
dc.contributor.authorNazir, Noman
dc.date.accessioned2024-10-30T10:14:37Z
dc.date.available2024-10-30T10:14:37Z
dc.date.issued2020-04-01
dc.description.abstractThis 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), Glaucoma
dc.identifier.citationRaja, H., Akram, M. U., Khawaja, S. G., Arslan, M., Ramzan, A., & Nazir, N. (2020). Data on OCT and fundus images for the detection of glaucoma. Data in brief, 29, 105342.
dc.identifier.doihttps://doi.org/10.1016/j.dib.2020.105342
dc.identifier.urihttps://repository.adu.ac.ae/handle/1/6896
dc.language.isoen_US
dc.publisherElsevier
dc.titleData on OCT and fundus images for the detection of glaucoma
dc.typeArticle

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