34 KB739 KB22 KB200020242001Arneodo, AlainKestener, PierreLina, Jean MarcSaint-Jean, Philippeletnik:20številka:36 stranistr. 169-174ISSN:1580-3139COBISSID:16036569URN:URN:NBN:SI:doc-FY6JM5LQenDruštvo za stereologijo in kvantitativno analizo slike, Medicinska fakultetaImage analysis and stereologyanaliza slikBrownovo gibanjeImage Processing, Computer-AssistedMammographyMamografijamamogramiSlika, obdelava z računalnikomWavelet-based multifractal formalism to assist in diagnosis in digitized mammograms|We apply the 2D wavelet transform (WTMM) method to perform a multifractal analysis of digitized mammograms. We show that normal regions display monofractal scaling properties as characterized by the socalled Hurst exponentH = 0.3 +- 0.1 in fatty areas which look like antipersistent self-similar random surfaces, while H = 0.65 +- 0.1 in dense areas which exibit long-range correlations and possibly multifractal scaling properties. We further demonstrate that the 2D WTMM method provides a very efficient way to detect tumors as well as microcalcifications (MC) which correspond to much stronger singularities than those involved in the background tissue roughness fluctuations. These preliminary results indicate that the texture discriminatory power of the 2D WTMM method may lead to significant improvementin computer-assisted diagnosis in digitized mammogramsTEXTznanstveno časopisjejournalsSlovenian National E-content AggregatorNational and University Library of SloveniaDruštvo za stereologijo in kvantitativno analizo slike