Anzeige
Erschienen in:
2012 | OriginalPaper | Buchkapitel
Subtle Directional Mammographic Findings in Multiscale Domain
verfasst von : Magdalena Jasionowska, Artur Przelaskowski
Erschienen in: Information Technologies in Biomedicine
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
The aim of our research is to extract local subtle directional texture orientation on mammographic images using a set of differentiating features calculated in various transformation domains. The main goal in this paper was to establish the usefulness of multiscale transformations, in particular the complex wavelet transform in automatic recognition of indefinite directional pathologies on mammograms. Our initial test was conducted on ROIs of mammograms containing one of typical breast cancer signs - architectural distortions (33 ROIs out of all analyzed 289 ROIs). The promising results have been achieved. It seems that the complex wavelet transform is effective domain to extract well-differentiating features.