• DocumentCode
    406607
  • Title

    Faster image dendrogram creation: an efficient algorithm for the detection of tumours in digital mammography

  • Author

    Mitchell, R.A. ; Nguyen, H.T. ; Thorton, 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
    2003
  • fDate
    17-21 Sept. 2003
  • Firstpage
    714
  • Abstract
    Dendronic image analysis has been shown to provide a robust technique in the detection of tumours within digital mammograms. It provides the capability of fully automated image analysis through hierarchical segmentation. However, its general acceptance in image analysis has not been realised due to computational intensity in creating the image dendrogram. We have developed an efficient technique that can create image dendrograms a great deal faster than traditional repetitive segmentation algorithms, making dendronic analysis of digital mammograms a viable tool in the detection of breast cancer.
  • Keywords
    cancer; diagnostic radiography; image segmentation; mammography; medical image processing; tumours; automated image analysis; breast cancer; dendronic analysis; digital mammography; hierarchical segmentation; image dendrogram creation; tumour detection; Australia; Breast cancer; Cancer detection; Image analysis; Image segmentation; Lesions; Mammography; Pathology; Robustness; Tumors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-7789-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2003.1279863
  • Filename
    1279863