dc.contributor.author | Birtane, Sibel | en_US |
dc.contributor.author | Korkmaz, Hayriye | en_US |
dc.date.accessioned | 2016-04-27T10:00:32Z | |
dc.date.available | 2016-04-27T10:00:32Z | |
dc.date.issued | 2014 | |
dc.identifier.citation | Birtane, S., Korkmaz, H. (2014). Rule-based fuzzy classifier for spinal deformities. Bio-Medical Materials and Engineering. 24.2014, 3311–3319. | en_US |
dc.identifier.issn | 0959-2989 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12294/372 | |
dc.identifier.uri | http://dx.doi.org/10.3233/BME-141154 | |
dc.description | Birtane, Sibel (Arel Author) | en_US |
dc.description.abstract | In 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.iso | eng | en_US |
dc.publisher | IOS Press | en_US |
dc.relation.ispartof | Bio-Medical Materials and Engineering | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Image Processing | en_US |
dc.subject | Scoliosis | en_US |
dc.subject | King-Moe Type Classification | en_US |
dc.subject | Fuzzy Logic | en_US |
dc.subject | Computer Aided Classification | en_US |
dc.subject | Rule-Based Classification | en_US |
dc.title | Rule-based fuzzy classifier for spinal deformities | en_US |
dc.type | article | en_US |
dc.department | İstanbul Arel Üniversitesi, Meslek Yüksekokulu, Bilgisayar Programcılığı Programı. | en_US |
dc.authorid | TR21919 | en_US |
dc.authorid | TR172456 | en_US |
dc.identifier.volume | 24 | en_US |
dc.identifier.issue | 2014 | en_US |
dc.identifier.startpage | 3311 | en_US |
dc.identifier.endpage | 3319 | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |