Publication:
Rule-based fuzzy classifier for spinal deformities

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dc.contributor.authorsBirtane, Sibel; Korkmaz, Hayriye
dc.date.accessioned2022-03-14T10:57:02Z
dc.date.accessioned2026-01-11T13:17:33Z
dc.date.available2022-03-14T10:57:02Z
dc.date.issued2014
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.
dc.identifier.doi10.3233/BME-141154
dc.identifier.eissn1878-3619
dc.identifier.issn0959-2989
dc.identifier.pubmed25227041
dc.identifier.urihttps://hdl.handle.net/11424/245565
dc.identifier.wosWOS:000343005700157
dc.language.isoeng
dc.publisherIOS PRESS
dc.relation.ispartofBIO-MEDICAL MATERIALS AND ENGINEERING
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectImage processing
dc.subjectscoliosis
dc.subjectking-moe type classification
dc.subjectfuzzy logic
dc.subjectcomputer aided classification
dc.subjectrule-based classification
dc.subjectRELIABILITY
dc.subjectSCOLIOSIS
dc.subjectINTRAOBSERVER
dc.subjectINTEROBSERVER
dc.titleRule-based fuzzy classifier for spinal deformities
dc.typearticle
dspace.entity.typePublication
oaire.citation.endPage3319
oaire.citation.issue6
oaire.citation.startPage3311
oaire.citation.titleBIO-MEDICAL MATERIALS AND ENGINEERING
oaire.citation.volume24

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