Selecting Image Features for Biopsy Needle Detection in Ultrasound Images Using Genetic Algorithms
Abstract
References
Index Terms
- Selecting Image Features for Biopsy Needle Detection in Ultrasound Images Using Genetic Algorithms
Recommendations
RETRACTED ARTICLE: Automated screening of congestive heart failure using variational mode decomposition and texture features extracted from ultrasound images
AbstractHeart is an important and hardest working muscular organ of the human body. Inability of the heart to restore normal perfusion to the entire body refers to cardiac failure, which then with symptoms results in manifestation of congestive heart ...
Wall-based measurement features provides an improved IVUS coronary artery risk assessment when fused with plaque texture-based features during machine learning paradigm
BackgroundPlanning of percutaneous interventional procedures involves a pre-screening and risk stratification of the coronary artery disease. Current screening tools use stand-alone plaque texture-based features and therefore lack the ability to ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
Sponsors
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Poster
Funding Sources
Conference
Acceptance Rates
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 17Total Downloads
- Downloads (Last 12 months)17
- Downloads (Last 6 weeks)7
Other Metrics
Citations
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in