Rule-based fuzzy classifier for spinal deformities
Source abstract
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.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Scoliosis diagnosis and treatment · Medical Imaging and Analysis · Spinal Fractures and Fixation Techniques
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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
References
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