• DocumentCode
    162564
  • Title

    Performance Analysis of Various Segmentation Techniques in Breast Mammogram Images

  • Author

    Sasikala, S. ; Ezhilarasi, M. ; Sudharsan, P. ; Sivakumari, C. L. Yashwanthi

  • Author_Institution
    KGiSL Inst. of Technol., Coimbatore, India
  • fYear
    2014
  • fDate
    6-7 March 2014
  • Firstpage
    228
  • Lastpage
    232
  • Abstract
    Breast cancer became the most dangerous disease that affect the most of the women and which has the less survival rate. Segmentation is the crucial step in analysis of mammogram images. Based on the segmented image further classification is done. Here we compared various available segmentation techniques for segmentation of mammogram images.
  • Keywords
    diseases; image classification; image segmentation; mammography; medical image processing; breast cancer; breast mammogram image segmentation techniques; dangerous disease; mammogram image analysis; performance analysis; segmented image classification; survival rate; Active contours; Cancer; Entropy; Image segmentation; Level set; Morphological operations; PSNR; acwe; ddsm; mammogram; segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing Applications (ICICA), 2014 International Conference on
  • Conference_Location
    Coimbatore
  • Type

    conf

  • DOI
    10.1109/ICICA.2014.56
  • Filename
    6965046
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=162564