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Rule-based fuzzy classifier for spinal deformities

Issue title: Frontiers in Biomedical Engineering and Biotechnology – Proceedings of the 3rd International Conference on Biomedical Engineering and Biotechnology, 25–28 September 2014, Beijing, China

Article type: Research Article

Authors: Birtane, Sibel; | Korkmaz, Hayriye

Affiliations: Department of Computer Programming, Vocational School, Istanbul Arel University, Istanbul, Turkey | Department of Electrical and Electronics Engineering, Faculty of Technology, Marmara University, Istanbul, Turkey

Note: [] Corresponding author: Sibel Birtane, Department of Computer Programming, Vocational School, Istanbul Arel University, Istanbul, Turkey. Tel.: +90 543 319 39 01; Email: sibelbirtane@arel.edu.tr.

Keywords: Image processing, scoliosis, king-moe type classification, fuzzy logic, computer aided classification, rule-based classification

DOI: 10.3233/BME-141154

Journal: Bio-Medical Materials and Engineering, vol. 24, no. 6, pp. 3311-3319, 2014

Published: 2014
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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.

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