Extracting the pectoral muscle in screening mammograms using a graph pyramid

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    Abstract

    A graph based method is introduced to segment the pectoral muscles in screening mammograms. An adaptive pyramid is used to segment the mammogram into a number of components. Components forming the pectoral muscle are identified based on position, intensity, and shape. The boundary of the union of these components forms an initial boundary that is refined via an adaptive deformable contour model. The method is tested on 83 medio-lateral oblique mammograms from the Mini-MIAS database. Segmentation results are evaluated in terms of the proportion of correctly assigned pixels. Performance compares well with existing methods based on Hough transform and on Gabor
    wavelets.
    Original languageEnglish
    Title of host publicationProceedings of the APRS Workshop on Digital Image Computing
    EditorsBrian C Lovell, Anthony J Maeder
    Place of PublicationSt Lucia, Queensland
    PublisherThe University of Queensland
    Number of pages6
    ISBN (Print)0-9580255-3-3
    Publication statusPublished - Feb 2005
    EventAPRS Workshop on Digital Image Computing -
    Duration: 21 Feb 2005 → …

    Conference

    ConferenceAPRS Workshop on Digital Image Computing
    Period21/02/05 → …

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