Application Of Support Vector Machines And Neural Networks In Digital Mammography: A Comparative Study
Microcalcification (MC) detection is an important component of breast cancer diagnosis. However, visual analysis of mammograms is a difficult task for radiologists. Computer Aided Diagnosis (CAD) technology helps in identifying lesions and assists the radiologist in making his final decision. This w...
Main Author: | |
---|---|
Format: | Others |
Published: |
Scholar Commons
2004
|
Subjects: | |
Online Access: | https://scholarcommons.usf.edu/etd/977 https://scholarcommons.usf.edu/cgi/viewcontent.cgi?article=1976&context=etd |