Abstract:Abstract. This paper presents an approach for breast cancer diagnosis in digital mammogram using multiresolution and multiscale geometric analysis. The proposed method consists of two stages. In the first stage, mammogram images are decomposed into different resolution levels using wavelet transform and curvelet transform, which are sensitive to different frequency bands. A set of the biggest coefficients from each decomposition level is extracted as features vector. In the second stage, classification is perf… Show more
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