Vascular Landmark Classification in Retinal Images Using Fuzzy RBF

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dc.contributor.authorCandemir, Cemre
dc.contributor.authorCetinkaya, Cihat
dc.contributor.authorKilincceker, Onur
dc.contributor.authorCinsdikici, Muhammed
dc.date.accessioned2019-10-27T21:42:31Z
dc.date.available2019-10-27T21:42:31Z
dc.date.issued2013
dc.departmentEge Üniversitesien_US
dc.description21st Signal Processing and Communications Applications Conference (SIU) -- APR 24-26, 2013 -- CYPRUSen_US
dc.description.abstractThis paper suggests the use of radial based neural networks for classification of the landmark points from retina vessels in the retinal vascular images to diagnose the disease in the diabetic retinopathy patients and to track the periodic differences in retinal vessel images. In the suggested method, Gold Standard images from DRIVE database are used. The performance of landmark detection by the suggested method shows that the method can be used as an algorithm for registration of retinal images.en_US
dc.identifier.isbn978-1-4673-5563-6; 978-1-4673-5562-9
dc.identifier.issn2165-0608
dc.identifier.urihttps://hdl.handle.net/11454/46910
dc.identifier.wosWOS:000325005300222en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isotren_US
dc.publisherIeeeen_US
dc.relation.ispartof2013 21St Signal Processing and Communications Applications Conference (Siu)en_US
dc.relation.ispartofseriesSignal Processing and Communications Applications Conference
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectradial basis function networken_US
dc.subjectimage registrationen_US
dc.subjectvascular landmark pointsen_US
dc.subjectfuzzy logicen_US
dc.subjectartificial neural networksen_US
dc.titleVascular Landmark Classification in Retinal Images Using Fuzzy RBFen_US
dc.typeConference Objecten_US

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