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dc.contributor.authorBirtane, Sibelen_US
dc.contributor.authorKorkmaz, Hayriyeen_US
dc.date.accessioned2016-04-27T10:00:32Z
dc.date.available2016-04-27T10:00:32Z
dc.date.issued2014
dc.identifier.citationBirtane, S., Korkmaz, H. (2014). Rule-based fuzzy classifier for spinal deformities. Bio-Medical Materials and Engineering. 24.2014, 3311–3319.en_US
dc.identifier.issn0959-2989
dc.identifier.urihttps://hdl.handle.net/20.500.12294/372
dc.identifier.urihttp://dx.doi.org/10.3233/BME-141154
dc.descriptionBirtane, Sibel (Arel Author)en_US
dc.description.abstractIn this paper, 2-steps software using image processing and enhancement technologies is developed to obtain a scoliosis patient’s spine pattern from 2D coronal X-Ray images without manual land marking. Then, a Rule-based Fuzzy classifier is implemented on those images to classify the spine patterns using the King-Moe classification approach.en_US
dc.language.isoengen_US
dc.publisherIOS Pressen_US
dc.relation.ispartofBio-Medical Materials and Engineeringen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectImage Processingen_US
dc.subjectScoliosisen_US
dc.subjectKing-Moe Type Classificationen_US
dc.subjectFuzzy Logicen_US
dc.subjectComputer Aided Classificationen_US
dc.subjectRule-Based Classificationen_US
dc.titleRule-based fuzzy classifier for spinal deformitiesen_US
dc.typearticleen_US
dc.departmentİstanbul Arel Üniversitesi, Meslek Yüksekokulu, Bilgisayar Programcılığı Programı.en_US
dc.authoridTR21919en_US
dc.authoridTR172456en_US
dc.identifier.volume24en_US
dc.identifier.issue2014en_US
dc.identifier.startpage3311en_US
dc.identifier.endpage3319en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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