Detection and Classification of Closed Angle Glaucoma Using Optical Coherence Tomography Images

dc.contributor.authorTeke, Fatih
dc.contributor.authorKaynar, Oguz
dc.contributor.authorGormez, Yasin
dc.date.accessioned2024-10-26T17:51:06Z
dc.date.available2024-10-26T17:51:06Z
dc.date.issued2023
dc.departmentSivas Cumhuriyet Üniversitesi
dc.description2023 Innovations in Intelligent Systems and Applications Conference, ASYU 2023 -- 11 October 2023 through 13 October 2023 -- Sivas -- 194153
dc.description.abstractGlaucoma is one of the 3 most important optic nerve diseases that cause vision loss in the world. There are 4 types of glaucoma that develops due to the destruction of the optic nerve, and one of them is closed-angle glaucoma. Closed-angle glaucoma causes an increase in intraocular pressure with the obstruction of drainage channels due to age and triggers glaucoma. In this study, disease classification was made using anterior segment optical coherence tomography (AS-OCT) images of closed-angle glaucoma samples. A total of 1200 ASOCT images were trained with convolutional networks for classification. It supports the use of peripapillary OCT images for the early diagnosis of glaucoma, with a test accuracy of 97.5%, which gives a very good result in peripapillary layer maps of glaucoma. With the developed method, AS-OCT images are aimed to help doctors in the detection and diagnosis of glaucoma © 2023 IEEE.
dc.identifier.doi10.1109/ASYU58738.2023.10296810
dc.identifier.isbn979-835030659-0
dc.identifier.scopus2-s2.0-85178252855
dc.identifier.urihttps://doi.org/10.1109/ASYU58738.2023.10296810
dc.identifier.urihttps://hdl.handle.net/20.500.12418/26023
dc.indekslendigikaynakScopus
dc.language.isotr
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof2023 Innovations in Intelligent Systems and Applications Conference, ASYU 2023
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectAS-OCT; glaucoma; optic coherence tomography; peripapillary
dc.titleDetection and Classification of Closed Angle Glaucoma Using Optical Coherence Tomography Images
dc.title.alternativeOptik Koherens Tomografi G r nt leri Kullanilarak Kapali A ili Glokom Tespiti ve Siniflandirilmasi
dc.typeConference Object

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