Rule-based fuzzy classifier for spinal deformities

descriptionPublicationkeyboard_double_arrow_right Article 01 Nov 2014 Turkey English Publisher:SAGE PublicationsJournal:Bio-Medical Materials and Engineering, volume 24, pages 3,311-3,319 (issn: 0959-2989, eissn: 1878-3619,

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Authors: Birtane, Sibel; Korkmaz, Hayriye;

doi: 10.3233/bme-141154

pmid: 25227041

handle: 20.500.12294/372

Rule-based fuzzy classifier for spinal deformities

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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.

Country

Turkey

Related Organizations

Marmara University
Turkey
Istanbul Arel University
Turkey

Keywords

Image Processing, Computer Aided Classification, Reproducibility of Results, Rule-Based Classification, Sensitivity and Specificity, 004, Pattern Recognition, Automated, Radiographic Image Enhancement, Fuzzy Logic, Scoliosis, Artificial Intelligence, King-Moe Type Classification, Humans, Radiographic Image Interpretation, Computer-Assisted, Algorithms

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