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This research presents a methodology for the automatic detection and characterization of breast sonographic findings. We performed the tests in ultrasound images obtained from breast phantoms made of tissue mimicking material. When the results were considerable, we applied the same techniques to clinical examinations. The process was started employing preprocessing (Wiener filter, equalization, and median filter) to minimize noise. Then, five segmentation techniques were investigated todoi:10.1155/2016/7987212 pmid:27413361 pmcid:PMC4927983 fatcat:huczu2twwbfqlbiw433f2quv2e