• DocumentCode
    3166876
  • Title

    Minimum Spanning Trees and Active Contours for Identification of the Pectoral Muscle in Screening Mammograms

  • Author

    Bajger, Mariusz ; Ma, Fei ; Bottema, Murk J.

  • Author_Institution
    Flinders University
  • fYear
    205
  • fDate
    6-8 Dec. 205
  • Firstpage
    47
  • Lastpage
    47
  • 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.
  • Keywords
    Active contours; Australia; Breast; Computer errors; Error analysis; Graph theory; Image segmentation; Informatics; Muscles; X-ray imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Image Computing: Techniques and Applications, 2005. DICTA '05. Proceedings 2005
  • Conference_Location
    Queensland, Australia
  • Print_ISBN
    0-7695-2467-2
  • Type

    conf

  • DOI
    10.1109/DICTA.2005.55
  • Filename
    1587649