• DocumentCode
    2044851
  • Title

    An improved non-linear transformation function for enhancement of mammographic breast masses

  • Author

    Bhateja, Vikrant ; Devi, Swapna

  • Author_Institution
    Dept. of Electron. & Commun. Eng., SRMCEM, Lucknow, India
  • Volume
    5
  • fYear
    2011
  • fDate
    8-10 April 2011
  • Firstpage
    341
  • Lastpage
    346
  • Abstract
    Breast cancer is often diagnosed at its early stage as a non-palpable suspicious mass on a mammogram that may be cancerous at a later stage. Masses can be seen in both mediolateral and craniocaudal mammographic views. Masses with diameters less than 1 cm are generally benign, while those with diameters above 2 cm require further investigation. This paper presents a novel approach for enhancement of suspicious masses in mammographic images using the proposed nonlinear transformation function. Significant improvement in contrast of masses along with the suppression of background tissues is obtained by tuning the parameters of the proposed transformation function in the specified range. The selection of parameters is almost invariant of the type of background tissues and severity of the abnormality, giving significantly improved results even for denser mammographic images. The applicability of the proposed method is tested on mammograms with circumscribed, ill-defined and spiculated masses.
  • Keywords
    biological organs; cancer; mammography; medical image processing; background tissue suppression; breast cancer; craniocaudal mammographic view; mammographic breast mass enhancement; mediolateral mammographic view; nonlinear transformation function; Breast cancer; Image edge detection; Lesions; Pixel; Tuning; MIAS database; circumscribed masses; contrast enhancement measure (CEM); double sigmoid function; nonlinear transformation function; spiculated masses;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics Computer Technology (ICECT), 2011 3rd International Conference on
  • Conference_Location
    Kanyakumari
  • Print_ISBN
    978-1-4244-8678-6
  • Electronic_ISBN
    978-1-4244-8679-3
  • Type

    conf

  • DOI
    10.1109/ICECTECH.2011.5942016
  • Filename
    5942016