Cart (Loading....) | Create Account
Close category search window
 

Content-Based Medical Ultrasound Image Retrieval Using a Hierarchical Method

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Jiangli Lin ; Dept. of Biomed. Eng., Sichuan Univ., Chengdu, China ; Ke Chen ; Yuanwen Zou ; Guangfu Yin

Content-based image retrieval (CBIR) has been major topics of research for medical image database query instead of text-based searching in recent years. Content-based access to medical images for supporting clinical data and scenarios for the integration of content-based access methods into picture archiving and communication system (PACS) has been created. In this paper, a hierarchical retrieval method for ultrasound images is proposed. The experimental results show a higher efficiency of the proposed algorithm than other single feature-based methods.

Published in:

Image and Signal Processing, 2009. CISP '09. 2nd International Congress on

Date of Conference:

17-19 Oct. 2009

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.