Minimum spanning trees and active contours for identification of the pectoral muscle in screening mamograms

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    11 Citations (Scopus)

    Abstract

    Image segmentation based on minimum spanning trees (MST) is used to identify the pectoral muscle in screening mammograms. The segmentation found using the MST is used to initialise an active contour for finding an anatomically reasonable estimate of the boundary of the pectoral muscle. The error is reported in terms of the number of in-correctly assigned pixels. Out of 83 images, 25 images have error rates less than 5 percent and 56 images have error rates less than 10 percent. The nature of the errors encountered indicates that the accuracy of computer algorithms for this task is approaching its practical limit.
    Original languageEnglish
    Title of host publicationProceedings of the Digital Image Computing: Technqiues and Applications (DICTA)
    Place of PublicationPiscataway, NJ
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages47
    Number of pages1
    ISBN (Print)0-7695-2490-7
    DOIs
    Publication statusPublished - Dec 2005
    EventDigital Image Computing Techniques and Applications 2005 - Cairns Convention Centre, Cairns, Australia
    Duration: 6 Dec 20058 Dec 2005

    Conference

    ConferenceDigital Image Computing Techniques and Applications 2005
    CountryAustralia
    CityCairns
    Period6/12/058/12/05

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