Approaches for early detection of glaucoma using retinal images: A performance analysis

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dc.authorid0000-0001-6657-9738
dc.contributor.authorSarhan, Abdullah
dc.contributor.authorRokne, Jon
dc.contributor.authorAlhajj, Reda
dc.date.accessioned2023-02-24T08:49:12Z
dc.date.available2023-02-24T08:49:12Z
dc.date.issued2020
dc.departmentİstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümü
dc.description.abstractSight is one of the most important senses for humans, as it allows them to see and explore their surroundings. Multiple ocular diseases damaging sight have been detected over the years such as glaucoma and diabetic retinopathy. Glaucoma is a group of diseases that can lead to blindness if left untreated. No cure for glaucoma exists apart from early detection and treatment by an ophthalmologist. Retinal images provide vital information about an eye’s health. On the basis of advancements in retinal images technology it is possible to develop systems that can analyze these images for better diagnosis. To test the efficiency of some of the developed techniques, we obtained the code for four different approaches and did a performance analysis using four public datasets. We investigated the results along with the analysis time. The outcomes of the study are approaches for glaucoma detection;behavior of glaucoma related approaches on retinal images with different ocular diseases;challenges faced when analyzing retinal images; andglaucoma risk factors.
dc.identifier.citationSarhan, A., Rokne, J. ve Alhajj, R. (2020). Approaches for early detection of glaucoma using retinal images: A performance analysis. Studies in Big Data içinde (213-238. ss.). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-32587-9_13
dc.identifier.doi10.1007/978-3-030-32587-9_13
dc.identifier.endpage238
dc.identifier.issn2197-6503
dc.identifier.scopus2-s2.0-85132886257
dc.identifier.scopusqualityQ3
dc.identifier.startpage213
dc.identifier.urihttps://doi.org/10.1007/978-3-030-32587-9_13
dc.identifier.urihttps://hdl.handle.net/20.500.12511/10526
dc.identifier.volume65
dc.indekslendigikaynakScopus
dc.institutionauthorAlhajj, Reda
dc.language.isoen
dc.publisherSpringer Science and Business Media Deutschland GmbH
dc.relation.ispartofStudies in Big Dataen_US
dc.relation.publicationcategoryKitap Bölümü - Uluslararası
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectBlindness
dc.subjectGlaucoma
dc.subjectMachine Learning
dc.subjectPerformance Analysis
dc.subjectRetinal Images
dc.titleApproaches for early detection of glaucoma using retinal images: A performance analysis
dc.typeBook Chapter

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