• DocumentCode
    186246
  • Title

    Mass segmentation in mammograms based on the minimisation of energy and active contour model

  • Author

    El Fahssi, Khalid ; Elmoufidi, Abdelali ; Abenaou, Abdenbi ; Jai-Andaloussi, Said ; Sekkaki, Abderrahim

  • Author_Institution
    LIAD Labs., Casablanca, Morocco
  • fYear
    2014
  • fDate
    11-12 June 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Breast mass segmentation in mammography plays a crucial role in Computer-Aided Diagnosis (CAD) systems. We propose in this work a method for the segmentation of mammography images by using a combination of two approaches: one based on levels set theory and the other based on the principle of the minimization of the energy of active contours. The elaborated algorithm which is an interactive approach permits to segment effectively the images from its coarse resolution to its refinement. The proposed method is tested on (MIAS) database and the obtained results demonstrate the efficacy of the proposed approach.
  • Keywords
    image segmentation; mammography; medical image processing; physiological models; CAD; active contour model; breast mass segmentation; computer-aided diagnosis systems; mammograms; Breast cancer; Databases; Image segmentation; Level set; Minimization; active contours; levels set; mammography segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Medical Measurements and Applications (MeMeA), 2014 IEEE International Symposium on
  • Conference_Location
    Lisboa
  • Print_ISBN
    978-1-4799-2920-7
  • Type

    conf

  • DOI
    10.1109/MeMeA.2014.6860106
  • Filename
    6860106