Skip to main content
Article thumbnail
Location of Repository

Electronics and Communication Engineering,

By Department Of Ece and M. Madheswaran


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

Topics: General Terms Algorithm, Performance Keywords US carotid artery image, Contour extraction, Multilayer back propagation network, Neural network classifier, Medical
Year: 2011
OAI identifier: oai:CiteSeerX.psu:
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • (external link)
  • (external link)
  • Suggested articles

    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.