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This paper outlines a new method for automatic detection of microcalcification clusters in mammograms. The presence of microcalcification clusters, which appear as small bright spots in mammographic images, is considered a very important sign in breast cancer diagnosis. However, such clusters can be hard to detect due to their size and low contrast from surrounding normal tissue. This work presents...
Computer aided diagnosis systems using machine learning techniques have been developed in order to assist radiologists' diagnosis and overcome inherent limitations of conventional mammography. Such systems base their diagnosis on image features extracted from mammograms, which are mainly related to the shape, the morphology, the texture and the position of the suspicious abnormality. Since the discrimination...
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