• DocumentCode
    707595
  • Title

    A review of breast density classification methods

  • Author

    Kumar, Indrajeet ; Virmani, Jitendra ; Bhadauria, H.S.

  • Author_Institution
    GBPEC, Pauri, India
  • fYear
    2015
  • fDate
    11-13 March 2015
  • Firstpage
    1960
  • Lastpage
    1967
  • Abstract
    Breast cancer is the most common life-threatening disease found in women in the developed countries. The risk factor of breast cancer is related to breast density, which is estimated with the help of mammography. Breast density can be evaluated by qualitative as well as quantitative methods. Few CAD systems have been designed for the automated classification of breast density. These CAD system designs have either used the segmented breast tissue or a predefined ROI; therefore these CAD designs can be broadly classified as Segmentation-based approaches or ROI-based approaches as described in this article. After that the BI-RADS classification is performed based on the extracted texture features.
  • Keywords
    biomedical MRI; cancer; image classification; image segmentation; mammography; medical image processing; CAD system; MRI; ROI-based approach; breast cancer; breast density classification method; computer-aided diagnostic; magnetic resonance imaging; mammography; region of interest; risk factor; segmentation-based approach; Breast; Erbium; Films; Training; Yttrium; Breast cancer; Breast density; Classification; Feature extraction; Feature selection; Mammograms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing for Sustainable Global Development (INDIACom), 2015 2nd International Conference on
  • Conference_Location
    New Delhi
  • Print_ISBN
    978-9-3805-4415-1
  • Type

    conf

  • Filename
    7100585