What is it about?
The aim of this study is to increase the edge recognition in cardiac scintography images in patients with ischemic heart disease using L*a*b* color space and K-means clustering.
Featured Image
Why is it important?
My findings show that segmentation technique (automatic scoring) and segmented images was adjudicated by three nuclear medicine physician as being comparable to other segmentation techniques created with manual editing (subjective scoring). This technique showed potentials increasing of detection of the myocardial ischemia rather than conventional one.
Perspectives
Writing this article was a great pleasure to show that the computerized technique showed potentials increasing of detection of the myocardial ischemia rather than conventional one.
Prof. Dr. Yousif Mohamed Yousif Abdallah
Majmaah University
Read the Original
This page is a summary of: Increasing of Edges Recognition in Cardiac Scintography for Ischemic Patients, Journal of Biomedical Engineering and Medical Imaging, December 2015, Scholar Publishing,
DOI: 10.14738/jbemi.26.1697.
You can read the full text:
Resources
Contributors
The following have contributed to this page