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Intelligent Medical Decision System for Identifying Ultrasound Carotid Artery Images with Vascular Disease

by N.Santhiyakumari, M. Madheswaran
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 13
Year of Publication: 2010
Authors: N.Santhiyakumari, M. Madheswaran
10.5120/285-447

N.Santhiyakumari, M. Madheswaran . Intelligent Medical Decision System for Identifying Ultrasound Carotid Artery Images with Vascular Disease. International Journal of Computer Applications. 1, 13 ( February 2010), 32-39. DOI=10.5120/285-447

@article{ 10.5120/285-447,
author = { N.Santhiyakumari, M. Madheswaran },
title = { Intelligent Medical Decision System for Identifying Ultrasound Carotid Artery Images with Vascular Disease },
journal = { International Journal of Computer Applications },
issue_date = { February 2010 },
volume = { 1 },
number = { 13 },
month = { February },
year = { 2010 },
issn = { 0975-8887 },
pages = { 32-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume1/number13/285-447/ },
doi = { 10.5120/285-447 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:46:27.025951+05:30
%A N.Santhiyakumari
%A M. Madheswaran
%T Intelligent Medical Decision System for Identifying Ultrasound Carotid Artery Images with Vascular Disease
%J International Journal of Computer Applications
%@ 0975-8887
%V 1
%N 13
%P 32-39
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The objective of this work is to develop and implement an intelligent medical decision system for identifying Ultrasound (US) carotid artery images with vascular diseases. The proposed method categorizes the carotid artery subjects into normal and diseased subjects’ namely cerebrovascular and cardiovascular diseases. For each and every preprocessed ultrasound carotid artery image, contours are extracted using contour extraction techniques. Multilayer Back Propagation Network (MBPN) system has been developed for categorizing the carotid artery subjects. The obtained results show that MBPN system provides higher classification efficiency, with minimum training and testing time. It helps in developing Medical Decision System (MDS) for ultrasound carotid artery images. It can also be used as secondary observer in clinical decision making.

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Index Terms

Computer Science
Information Sciences

Keywords

US carotid artery image Contour extraction Multilayer back propagation network Neural network classifier Medical decision system

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