Glaucoma detection using image processing techniques: A literature review

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dc.authorid0000-0001-6657-9738
dc.contributor.authorSarhan, Abdullah
dc.contributor.authorRokne, Jon
dc.contributor.authorAlhajj, Reda
dc.date.accessioned2019-12-19T12:47:46Z
dc.date.available2019-12-19T12:47:46Z
dc.date.issued2019
dc.departmentİstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümü
dc.description.abstractThe term glaucoma refers to a group of heterogeneous diseases that cause the degeneration of retinal ganglion cells (RGCs). The degeneration of RGCs leads to two main issues: (i) structural changes to the optic nerve head as well as the nerve fiber layer, and (ii) simultaneous functional failure of the visual field. These two effects of glaucoma may lead to peripheral vision loss and, if the condition is left to progress it may eventually lead to blindness. No cure for glaucoma exists apart from early detection and treatment by optometrists and ophthalmologists. The degeneration of RGCs is normally detected from retinal images which are assessed by an expert. These retinal images also provide other vital information about the health of an eye. Thus, it is essential to develop automated techniques for extracting this information. The rapid development of digital images and computer vision techniques have increased the potential for analysis of eye health from images. This paper surveys current approaches to detect glaucoma from 2D and 3D images; both the limitations and possible future directions are highlighted. This study also describes the datasets used for retinal analysis along with existing evaluation algorithms. The main topics covered by this study may be enumerated as follows: • approaches to segment different objects from both 2D and 3D images; • approaches that may lead to encouraging results for glaucoma detection; • challenges faced by researchers; and • currently available retinal datasets and evaluation methods.
dc.identifier.citationSarhan, A., Rokne, J. ve Alhajj, R. (2019). Glaucoma detection using image processing techniques: A literature review. Computerized Medical Imaging and Graphics, 78. https://doi.org/10.1016/j.compmedimag.2019.101657
dc.identifier.doi10.1016/j.compmedimag.2019.101657
dc.identifier.issn0895-6111
dc.identifier.issn1879-0771
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.compmedimag.2019.101657
dc.identifier.urihttps://hdl.handle.net/20.500.12511/4556
dc.identifier.volume78
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofComputerized Medical Imaging and Graphicsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.subjectReview
dc.subjectBlindness
dc.subjectRetinal Analysis
dc.subjectImage Analysis
dc.subjectGlaucoma
dc.titleGlaucoma detection using image processing techniques: A literature review
dc.typeReview Article

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