A Study of Preprocessing and Segmentation Techniques on Cardiac Medical Images

A Study of Preprocessing and Segmentation Techniques on Cardiac Medical Images
Authors : Shameena N, Rahna Jabbar
Publication Date: 10-04-2014


Author(s):  Shameena N, Rahna Jabbar

Published in:   International Journal of Engineering Research & Technology

License:  This work is licensed under a Creative Commons Attribution 4.0 International License.

Website: www.ijert.org

Volume/Issue:   Vol. 3 - Issue 4 (April- 2014)

e-ISSN:   2278-0181


Segmentation is the process of simplifying and/or changing the representation of an image into something that is more meaningful and easier to analyze. Image segmentation is typically used to locate objects and boundaries in images. Medical image segmentation plays a crucial role in delineation of regions of interest under study. It is essential in almost any medical imaging applications and is an essential step towards automated disease state detection in diagnostic imaging. Myocardial infraction is the leading cause of death throughout the world. Foreseeing and diagnosing of cardiac diseases usually require quantitative evaluation of the ventricle volume, mass, and ejection fraction. Advantages and disadvantages of the current segmentation methodologies are reviewed in perspective of medical imaging.


Number of Citations for this article:  Data not Available


Key Word(s):    


Number of Downloads:     783

Call for Papers - May - 2017



                 Call for Thesis - 2017 

     Publish your Ph.D/Master's Thesis Online

              Publish Ph.D Master Thesis Online as Book