• DocumentCode
    600110
  • Title

    Pectoral muscle identification in mammograms for Computer Aided Diagnosis of breast cancer

  • Author

    Hassan, Syed Ali ; Sayed, Mohammed S. ; Farag, Fathi ; Gouhar, G.K.

  • Author_Institution
    Dept. of Electron. & Commun. Eng., Zagazig Univ., Zagazig, Egypt
  • fYear
    2012
  • fDate
    20-22 Dec. 2012
  • Firstpage
    158
  • Lastpage
    161
  • Abstract
    In Computer Aided Diagnosis (CAD) systems of breast cancer, extraction of the breast region and delineation of the breast contour with the pectoral muscle being removed is an essential preprocessing step. Primarily it allows the search for abnormalities to be limited to the region of the breast without undue effect from the background of the mammogram. This paper presents a new method for the identification and removal of the pectoral muscle in medio-Iateral oblique (MLO) view of mammogram using iterative thresholding. Our algorithm also identifies the presence of abnormal axillary lymph nodes, which is a major sign of breast carcinoma, and detects the breast border.
  • Keywords
    cancer; diagnostic radiography; feature extraction; image denoising; iterative methods; mammography; medical image processing; muscle; abnormal axillary lymph nodes; breast border; breast cancer; breast carcinoma; breast contour; breast region extraction; computer aided diagnosis; iterative thresholding; mammograms; medio-Iateral oblique view; pectoral muscle identification; Algorithm design and analysis; Breast cancer; Image segmentation; Lymph nodes; Muscles; Breast Border Detection; Computer Aided Diagnosis; Mammograms; Pectoral Muscle Identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering Conference (CIBEC), 2012 Cairo International
  • Conference_Location
    Giza
  • ISSN
    2156-6097
  • Print_ISBN
    978-1-4673-2800-5
  • Type

    conf

  • DOI
    10.1109/CIBEC.2012.6473337
  • Filename
    6473337