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In this paper, we perform the assessment of a CAD for the tumoral masses classification in mammograms by the uncertainty propagation through the system. Carrying on the work of the authors concerning the metrological characterization of the developed CAD, we validate the features extraction, features selection, and classification steps in this paper. In particular, suitable metrics such as the Receiving...
Radiologists that analyze screening mammographic images miss the 10-20% of the diagnosis since this kind of images are very difficult to interpret. In this paper, we present the first step of a CADx (computer aided diagnosis) system that, from the original mammogram, extracts suspicious regions on which the radiologists have to focus their attention. The procedure often successes also in case of very...
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