• DocumentCode
    3099981
  • Title

    Unified approach for masses and microcalcifications detection in mammograms

  • Author

    Faker, Soufien ; Barhoumi, Walid ; Zagrouba, Ezzeddine

  • Author_Institution
    Ecole Nationale des Ingenieurs de Tunis, Tunisia
  • fYear
    2004
  • fDate
    19-23 April 2004
  • Firstpage
    329
  • Lastpage
    330
  • Abstract
    Mammography is the most effective method for the detection of early breast cancer. However, many studies showed that radiologists, even the experienced ones, couldn´t detect all breast cancer that appears on the mammograms. Thus, computer-assisted diagnosis (CAD), based on advanced image processing and pattern recognition techniques, is used to locate and classify possible lesions. In this paper, we present a general approach for the lesions detection in mammograms. This approach performs the detection in the both cases of masses and microcalcifications.
  • Keywords
    cancer; mammography; medical image processing; pattern recognition; tumours; breast cancer detection; image processing; lesions detection; mammography; masses; microcalcification; pattern recognition technique; Breast cancer; Cancer detection; Computer aided diagnosis; Histograms; Image segmentation; Lesions; Mammography; Medical treatment; Muscles; Pixel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Communication Technologies: From Theory to Applications, 2004. Proceedings. 2004 International Conference on
  • Print_ISBN
    0-7803-8482-2
  • Type

    conf

  • DOI
    10.1109/ICTTA.2004.1307761
  • Filename
    1307761