You are viewing a javascript disabled version of the site. Please enable Javascript for this site to function properly.
Go to headerGo to navigationGo to searchGo to contentsGo to footer
In content section. Select this link to jump to navigation

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: [email protected].

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
Get PDF open access

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.

Show more