Retinal Nerve Fiber Layer Detection at Optical Coherence Tomography Image for the Diagnosis of Glaucoma

dc.contributor.authors	Sahin, ME; Bozkurt, MR;
dc.date.accessioned	2020-02-27T07:00:22Z
dc.date.available	2020-02-27T07:00:22Z
dc.date.issued	2015
dc.identifier.citation	Sahin, ME; Bozkurt, MR; (2015). Retinal Nerve Fiber Layer Detection at Optical Coherence Tomography Image for the Diagnosis of Glaucoma. 2015 MEDICAL TECHNOLOGIES NATIONAL CONFERENCE (TIPTEKNO), , -
dc.identifier.uri	https://hdl.handle.net/20.500.12619/64740
dc.description.abstract	Glaucoma is characterized by increased intraocular pressure, retinal ganglion cell degeneration, optic disc cupping and visual field loss forming is a chronic optic neuropathy. Glaucoma is an irreversible worldwide and the leading cause of preventable blindness. In this study we worked on an algorithm to detect the Retinal Nerve Fiber Layer(RNFL) thickness using Optical Coherence Tomography (OCT) images the glaucoma at image processing techniques.
dc.language	Turkish
dc.publisher	IEEE
dc.subject	Engineering
dc.title	Retinal Nerve Fiber Layer Detection at Optical Coherence Tomography Image for the Diagnosis of Glaucoma
dc.type	Proceedings Paper
dc.contributor.department	Sakarya Üniversitesi/Mühendislik Fakültesi/Elektrik-Elektronik Mühendisliği Bölümü
dc.contributor.saüauthor	Bozkurt, Mehmet Recep
dc.relation.journal	2015 MEDICAL TECHNOLOGIES NATIONAL CONFERENCE (TIPTEKNO)
dc.identifier.wos	WOS:000380505200065
dc.contributor.author	Mehmet Erhan Sahin
dc.contributor.author	Bozkurt, Mehmet Recep