• DocumentCode
    429311
  • Title

    Mammogram object detection using dendronic image analysis

  • Author

    Mitchell, R.A. ; Nguyen, H.T. ; Thornton, B.S. ; Hung, W.T. ; Lee, W. ; Rickard, M.

  • Author_Institution
    Key Univ. Res. Centre for Health Technol., Univ. of Technol., Sydney, NSW, Australia
  • Volume
    1
  • fYear
    2004
  • fDate
    1-5 Sept. 2004
  • Firstpage
    1763
  • Lastpage
    1765
  • Abstract
    Breast cancer can be treated with better patient outcomes and significantly lower costs if detected early. Using the spatial dendronic structure, image masks can be obtained, showing regions in the mammogram image corresponding to the breast and lead marker. The technique is robust to noise and placement of the breast within the image. The technique not only reduces the size of the region to be analysed, but also provides the dendronic structure of the breast in which stealth-like masses can be found more easily.
  • Keywords
    biological organs; cancer; mammography; medical image processing; object detection; breast cancer; dendronic image analysis; image masks; mammogram object detection; stealth-like masses; Australia; Breast cancer; Cancer detection; Costs; Hospitals; Image analysis; Image segmentation; Medical treatment; Noise robustness; Object detection; Mammogram; dendrogram; object detection; shape invariance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    0-7803-8439-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2004.1403528
  • Filename
    1403528