Title
Carotid far wall characterization using LBP, Laws' Texture Energy and wall variability: a novel class of Atheromatic systems.
Abstract
In this work, we present a Computer Aided Diagnostic (CAD) technique (a class of Atheromatic systems) that classifies the automatically segmented carotid far wall Intima-Media Thickness (IMT) regions along the common carotid artery into symptomatic and asymptomatic classes. We extracted texture features based on Local Binary Patterns (LBP) and Law's Texture Energy (LTE) and used the significant features to train and test the Support Vector Machine classifier. We developed the classifiers using three-fold stratified cross validation data resampling technique on 342 IMT wall regions. An accuracy of 89.5% was registered. Thus, the proposed technique is accurate, robust, non-invasive, fast, objective, and cost-effective, and hence, will add more value to the existing carotid plaque diagnostics protocol.
Year
DOI
Venue
2012
10.1109/EMBC.2012.6345964
EMBC
Keywords
Field
DocType
atheromatic system,atherosclerosis,intima-media thickness,medical disorders,wall variability,carotid far wall characterization,lbp,common carotid artery,computer aided diagnostic technique,local binary pattern,carotid plaque diagnostics,laws' texture energy,blood vessels,support vector machine classifier,laws texture energy,data resampling,local binary patterns,carotid far wall,classifiers,cad technique,three fold stratified cross validation,asymptomatic,symptomatic,patient diagnosis,support vector machines
CAD,Data resampling,Computer vision,Computer science,Support vector machine classifier,Computer-aided,Support vector machine,Local binary patterns,Artificial intelligence,Common carotid artery,Law,Cross-validation
Conference
Volume
ISSN
ISBN
2012
1557-170X
978-1-4577-1787-1
Citations 
PageRank 
References 
0
0.34
5
Authors
8
Name
Order
Citations
PageRank
Acharya U Rajendra1456.47
S Vinitha Sree240518.30
Muthu Rama Krishnan M351.07
Luca Saba400.68
Filippo Molinari571.03
Shoaib Shafique6112.98
Andrew Nicolaides7312.34
Jasjit S. Suri81754128.89