Computer-Aided Diagnosis for Mammographic Microcalcification Clusters
Breast cancer is the second leading cause of cancer deaths among women in the United States and microcalcifications clusters are one of the most important indicators of breast disease. Computer methodologies help in the detection and differentiation between benign and malignant lesions and have the...
| Main Author: | |
|---|---|
| Format: | Others |
| Published: |
Scholar Commons
2003
|
| Subjects: | |
| Online Access: | https://scholarcommons.usf.edu/etd/1492 https://scholarcommons.usf.edu/cgi/viewcontent.cgi?article=2491&context=etd |