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Breast cancer is one of the most dangerous tumors for middle-aged and older woman, and mammography is its most reliable early detection method. In this paper, a fully automated method for detection of mass-like objects is proposed. The main stage of the algorithm is non-linear histogram conversion based on Rayleigh transformation. That approach gives us mammograms with significantly improved masses...
This paper presents wavelet-based method for perception improvement of masses and microcalcifications in digital mammogramns. The coefficients distribution of multiresolution transform was shaped nonlinearly in selected scales and subbands, resulting in an improved visualization of significant mammographic features. Subjective rating of processed mammograms proved the efficacy of the method under...
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