Bagci, A. M.Çetin, A. Enis2019-02-012019-02-012002-10-240013-5194http://hdl.handle.net/11693/48701A method for computer-aided diagnosis of microcalcification clusters in mammogram images is presented. Microcalcification clusters which are an early sign of breast cancer appear as isolated bright spots in mammograms. Therefore they correspond to local maxima of the image. The local maxima of the image is first detected and they are ranked according to a higher-order statistical test performed over the subband domain data.EnglishMammographyMedical image processingWavelet transformsLeast mean squares methodsHigher order statisticsMicrocalcification clustersComputer-aided diagnosisMammogram imagesBreast cancerIsolated bright spotsHigher-order statistical testSubband domain dataAdaptive wavelet transform analysisLocal maximaLeast mean square algorithmFilterbank structureDetection of microcalcifications in mammograms using local maxima and adaptive wavelet transform analysisArticle10.1049/el:20020907