Classification of masses in mammographic image using wavelet domain features and polynomial classifier
We propose a system for texture analysis and classification of lesions in mammograms. We validate the method by quantitative evaluation. We also made a comparison with other artificial intelligence algorithms. The method allows classification with average value 0.98 of Az. The method is effective in 360 digitized mammograms from DDSM database.
wavelet polynomial classifier texture analysis mammography cad