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dc.contributor.authorIşıkçı, Elifen_US
dc.contributor.authorDuru, Dilek Gökselen_US
dc.date.accessioned2019-10-29T17:32:42Z
dc.date.available2019-10-29T17:32:42Z
dc.date.issued2015
dc.identifier.isbn978-1-4673-7765-2
dc.identifier.urihttps://hdl.handle.net/20.500.12294/1813
dc.identifier.urihttps://dx.doi.org/10.1109/TIPTEKNO.2015.7374567
dc.descriptionMedical Technologies National Conference (TIPTEKNO) --OCT 15-18, 2015 -- Bodrum, TURKEYen_US
dc.descriptionWOS: 000380505200049en_US
dc.description.abstractIn this study, a semi automatic segmentation of multiple sclerosis lesions in magnetic resonance (MR) images based on active contours is done. Based on the seed area selection by the user, the parametric active contours which rely on energy minimization, try to shrink and bend the snake resulting in boundary curve (capture region). The method is tested in MATLAB firstly on simulation data, and the precision of internal and external contour extraction is verified. Next, real brain MR images are investigated based on active contours (snakes) for segmentation of lesions. The method is discussed according the active contour implementation findings of the simulation and the real data.en_US
dc.language.isoturen_US
dc.publisherIEEEen_US
dc.relation.ispartof2015 MEDICAL TECHNOLOGIES NATIONAL CONFERENCE (TIPTEKNO)en_US
dc.identifier.doi10.1109/TIPTEKNO.2015.7374567en_US
dc.identifier.doi10.1109/TIPTEKNO.2015.7374567
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectsegmentationen_US
dc.subjectactive contouren_US
dc.subjectMultiple Sclerosisen_US
dc.titleExtraction of Multiple Sclerosis Lesions in MR Images Based on Active Contoursen_US
dc.typeconferenceObjecten_US
dc.departmentİstanbul Arel Üniversitesi, Mühendislik-Mimarlık Fakültesi, Biyomedikal Mühendisliği Bölümüen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.department-temp[Isikci, Elif -- Duru, Dilek Goksel] Istanbul Arel Univ, Biyomed Muhendisligi Bolumu, Buyukcekmece, Turkeyen_US


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