Abstract:
If detected early, breast cancer can be treated with better
patient outcomes and significantly lower costs. Using the spatial
dendronic structure and hierarchical repartment operator, difficult
cases of spiculated and stellate tumours can be identified early. The
techniques are robust to noise and can reveal various layers of
biophysical and biomedical differences in a suspect tumour. In
particular, the hierarchical repartment parameter of a mass in a
digital mammogram can be obtained using compactness ratios of
successive information peeling in this mass. This parameter alone
was applied to distinguish all biopsied masses from normal
parenchymal tissues in eight separate cases.