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Abstract This Dissertation investigates the field of computer image recognition applied to medical imaging in mammography. There is an interest in developing learning systems to assist radiologists in recognition of microcalcifications to help them in screening programs for prevention of breast cancer. Analysis of microcalcifications has emerged a...
Indoor multpropagation channel is modeled by the Kaiser electromagnetic wavelet. A method for channel characterization is proposed by modeling all the reflections of indoor propagation in a kernel function instead of its impulse response. This lead us to consider a fractal modulation scheme in which Kaiser wavelets substitute the traditional sinuso...
Mammograms depict most of the significant changes in breast disease. In this paper, a computer aided diagnosis (CAD) system is presented. First, the mammographic image is enhanced using an orientation space analysis based on a contourlet transform. Then a multirresolution analysis based on the dyadic wavelet transform and wavelet transform modulus...