Classification of breast masses using selected shape, edge-sharpness, and texture features with linear and kernel-based classifiers.
Breast masses due to benign disease and malignant tumors related to breast cancer differ in terms of shape, edge-sharpness, and texture characteristics. In this study, we evaluate a set of 22 features including 5 shape factors, 3 edge-sharpness measures, and 14 texture features computed from 111 reg...
| Published in: | Journal of Digital Imaging Vol. 21; no. 2; pp. 153 - 170 |
|---|---|
| Main Authors: | , , |
| Format: | equations & formulas research tables/charts Journal Article |
| Published: |
Springer Nature
Jun2008
|
| Online Access: | View this record in EBSCOhost |