Cover Image

Design of an intelligent diagnostic system for detection of knee injuries

Link to publisher's homepage at http://www.ttp.net/

Saved in:
Bibliographic Details
Main Authors: Azian Azamimi, Abdullah, Nur Siti Fatimah Azz-Zahra, Md Som
Other Authors: azamimi@unimap.edu.my
Format: Article
Language:English
Published: Trans Tech Publications 2014
Subjects:
ACL
Diagnostic system
Knee injuries
Mri images
Neural network
Online Access:http://dspace.unimap.edu.my:80/dspace/handle/123456789/32391
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.unimap-32391
record_format dspace
spelling my.unimap-323912014-03-06T06:58:04Z Design of an intelligent diagnostic system for detection of knee injuries Azian Azamimi, Abdullah Nur Siti Fatimah Azz-Zahra, Md Som azamimi@unimap.edu.my fatimah_azzzahra@yahoo.com ACL Diagnostic system Knee injuries Mri images Neural network Link to publisher's homepage at http://www.ttp.net/ Knee injuries is quite common in sport injuries and one of the most frequent happen are anterior cruciate ligament (ACL) knee injuries. There are two types of ACL injuries which are partial tear and complete tear. Currently physical tests, MRI image interpretation from expert and arthroscopy method are used to diagnoses the injuries. These procedures somehow are time consuming, invasive and operator dependent. To overcome these limitations, the intelligent diagnostic system using artificial neural network (ANN) has been proposed as an alternate way to give an early detection and also to classify the types of ACL injuries. We have used BP ANN and k-NN for the classification purpose. From these both classifiers, BP ANN give the higher accuracy which is 94.44% compared to k-NN classifier which the highest accuracy only up to 87.8333%. 2014-03-06T06:58:04Z 2014-03-06T06:58:04Z 2013 Article Applied Mechanics and Materials, vol. 339, 2013, pages 219-224 978-303785737-3 1660-9336 http://www.scientific.net/AMM.339.219 http://dspace.unimap.edu.my:80/dspace/handle/123456789/32391 en Trans Tech Publications
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic ACL
Diagnostic system
Knee injuries
Mri images
Neural network
spellingShingle ACL
Diagnostic system
Knee injuries
Mri images
Neural network
Azian Azamimi, Abdullah
Nur Siti Fatimah Azz-Zahra, Md Som
Design of an intelligent diagnostic system for detection of knee injuries
description Link to publisher's homepage at http://www.ttp.net/
author2 azamimi@unimap.edu.my
author_facet azamimi@unimap.edu.my
Azian Azamimi, Abdullah
Nur Siti Fatimah Azz-Zahra, Md Som
format Article
author Azian Azamimi, Abdullah
Nur Siti Fatimah Azz-Zahra, Md Som
author_sort Azian Azamimi, Abdullah
title Design of an intelligent diagnostic system for detection of knee injuries
title_short Design of an intelligent diagnostic system for detection of knee injuries
title_full Design of an intelligent diagnostic system for detection of knee injuries
title_fullStr Design of an intelligent diagnostic system for detection of knee injuries
title_full_unstemmed Design of an intelligent diagnostic system for detection of knee injuries
title_sort design of an intelligent diagnostic system for detection of knee injuries
publisher Trans Tech Publications
publishDate 2014
url http://dspace.unimap.edu.my:80/dspace/handle/123456789/32391
_version_ 1643796881643405312
score 13.211869

Similar Items