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A METHOD FOR MICROCALISIFICATIONS DIAGNOSIS IN BREAST MAMMOGRAMS | ||
| Journal of College of Education for Pure Science | ||
| Article 1, Volume 4, Issue 1, 2014, Pages 193-202 | ||
| Authors | ||
| Ahmed Kazim Hamed Al-Saadi; Abbas Hanon AL-Asadi | ||
| 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 Transform | ||
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