Detection of Microcalcification Clusters in Mammograms Using Curvelet Transform

In this paper we present a new approach for computer aided detection of microcalcifications (MC) clusters in mammograms. The proposed method is done in two stages; the first stage is a preprocessing with histogram, in the second stage the ability of these filtered images in detecting microcalcification is done using the Curvelet Transform. The proposed method is applied to a database of 10 dense mammographic images, originating from the MIAS database, finally results shows that the proposed approach gives a satisfactory detection performance.