A METHOD FOR MICROCALISIFICATIONS DIAGNOSIS IN BREAST MAMMOGRAMS
Abstract
Breast cancer is the main cause of death for women above age 40. In this paper a method is proposed to develop a Computer-Aided Diagnosis (CADx), this method provide a second opinion in microcalcifications diagnostic and making decisions (classify microcalcifications as benign or malignant). The proposed method for microcalcifications diagnosis splits into three steps: The first step extracts the region of interest (ROI). The second step is the features extraction, where we used a set of features from (ROI) by applying wavelet decomposition. The third step is the classification process where discrimination between benign and malignant is performed using a Nearest Neighbor Classifier. The proposed method was evaluated using the Mammographic Image Analysis Society (MIAS) mammographic databases. The proposed method has achieved satisfactory results.
Keywords
Breast Cancer, computer aided diagnosis, Microcalcifications, Mammography, Wavelet TransformMetrics