title: Highly regular wavelets for the detection of clustered microcalcifications in mammograms.
abstract: In this paper, we consider the problem of detecting clustered microcalcification in digitized mammograms using new wavelets with a high Sobolev regularity index. We experimentally assess the superiority of the new wavelets when compared with the classical ones.
authors.affiliation: University of Mons Hainaut, CRMM Parc Initialis, 7000 Mons, Belgium. ghislain.lemaur@galileo.umh.ac.be
authors.forename: G
authors.initials: G
authors.lastname: Lemaur
authors.forename: K
authors.initials: K
authors.lastname: Drouiche
authors.forename: J
authors.initials: J
authors.lastname: DeConinck
mesh_terms: D000465:Algorithms; D001941:Breast Diseases / Q000000981:diagnostic imaging*; D002114:Calcinosis / Q000000981:diagnostic imaging*; D016208:Databases, Factual; D006801:Humans; D008327:Mammography / Q000379:methods*; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D012815:Signal Processing, Computer-Assisted