Efficiency of combined Daubechies wavelets and statistical parameters applied in mammography.

The proposed methodology combines a Daubechies (Db2) wavelet transform and the statistical parameters, skewness and kurtosis for the detection of microcalcifications in mammography. The effeciency of the discrete algorithm is heavily relied on the order of performing wavelet approximation and the computation of the statistical moments. The significant of wavelet and statistical parameter approaches, as well as the ordering issue in performing the analysis, are justified through implementing numerical examples for some clinical data. Finally, a ROC curve summarizing the performance of the CAD scheme is also presented