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Breast cancer is a leading cause of death among all cancer diseases for middle-aged and older women. It is major health challenge all over the world and its occurrence has increased rapidly in recent years. Mammography is a valuable and cost effective tool used in breast cancer screening programs and is a well-known method for detection of breast tumors. Early detection and removal of the primary tumor is an essential and effective method to enhance survival rate and reduce mortality. The image segmentation is the basic step in the detection of tumors in various medical images. Breast region segmentation is an essential prerequisite in computerized analysis of mammograms. It aims at separating the breast tissue from the background of the mammogram. The detection and segmentation of the pectoral muscle in the Medio-Lateral Oblique (MLO) view of mammograms is essential for further analysis of breast anomalies. The presence of pectoral muscle may sometimes affect the detection of architectural distortion due to their similar characteristics with abnormal tissues. As a result pectoral muscle should be handled separately while detecting the breast cancer. There have been various techniques to remove the pectoral muscle and isolate the breast region. This paper gives a comparative analysis of the various existing techniques used for Elimination of Pectoral Muscle.
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