Publication:
Rule-based fuzzy classifier for spinal deformities

Thumbnail Image

Files

file.pdf (593.52 KB)

Date

2014

Authors

Journal Title

Journal ISSN

Volume Title

Publisher

IOS PRESS

Research Projects

Organizational Units

Journal Issue

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.

Description

Keywords

Image processing, scoliosis, king-moe type classification, fuzzy logic, computer aided classification, rule-based classification, RELIABILITY, SCOLIOSIS, INTRAOBSERVER, INTEROBSERVER

Citation

URI

https://hdl.handle.net/11424/245565

Collections

Araştırma Çıktıları

Endorsement

Review

Supplemented By

Referenced By