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Pectoral Muscle Identification in Mammograms for Computer Aided Diagnosis of breast cancer
Faculty
Not Specified
Year:
2012
Type of Publication:
InProcceding
Pages:
Authors:
Farag, Fathi, Sayed, Mohammed S, Gouhar, Ghada K, Hassan, Shayma'a A
Journal:
IEEE
Volume:
Research Area:
Engineering
ISSN
ISI:000319397600038
Keywords :
Mammograms, Computer Aided Diagnosis, Pectoral Muscle Identification, Breast Border Detection
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 pre-processing 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-lateral 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.
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