Title
Automated technique for coronary artery disease characterization and classification using DD-DTDWT in ultrasound images.
Abstract
•Automated system is proposed for coronary artery disease diagnosis using US images.•Entropy features are derived from DD-DTDWT method.•The dimension of the extracted features are reduced using marginal fisher analysis (MFA) and are optimally selected using entropy based test.•Attained maximum accuracy of 96.05% for linear discriminant analysis classifier.
Year
DOI
Venue
2018
10.1016/j.bspc.2017.09.030
Biomedical Signal Processing and Control
Keywords
Field
DocType
Coronary artery disease,Computer aided diagnosis,Double density-dual tree discrete wavelet transform,Entropy
Coronary artery disease,Automated technique,Acute coronary syndrome,Internal medicine,Cardiology,Computer-aided diagnosis,Ischemia,Discrete wavelet transform,Linear discriminant analysis,Medicine,Ultrasound
Journal
Volume
ISSN
Citations 
40
1746-8094
5
PageRank 
References 
Authors
0.42
29
8
Name
Order
Citations
PageRank
U. Raghavendra1937.70
Hamido Fujita22644185.03
Anjan Gudigar3525.72
Shetty Ranjan4372.16
N. Krishnananda5402.24
Pai Umesh6402.24
Jyothi Samanth7110.85
Rajendra Acharya U84666296.34