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
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