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In this paper, we consider uncertainty handling and propagation by means of random fuzzy variables (RFVs) through a computer-aided-diagnosis (CADx) system for the early diagnosis of breast cancer. In particular, the denoising and the contrast enhancement of microcalcifications is specifically addressed, providing a novel methodology for separating the foreground and the background in the image to...
In this paper we consider uncertainty handling and propagation by means of RFV through a Computer Aided Detection (CAD) system for denoising and contrast enhancement of mammographic images. In this context, we assume that uncertainty associated to each pixel of the image has both a random and a not negligible systematic contribution. So, after a noise variance estimation performed on the original...
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