doi:10.3850/978-981-08-7618-0_0772

ABSTRACT

Breast cancer is a serious public health problem in several countries. Breast cancer is one of the major causes of death among women. Computer-aided detection/diagnosis systems have been used with relative success in aid of health care professionals. The goal of such systems is not to replace the professionals, but to join forces in order to detect the different types of cancer at an early stage. Asymmetry analysis of beast has great importance because it is not only indicator for breast cancer but also predict future potential for the same. In the paper we have concentrated to segment the anatomical regions of breast, isolate the boarder line of each to investigate the presence of abnormal mass and asymmetry of anatomical regions in a pair of mammogram. The methodology obtained 89.30% of accuracy and a rate of 0.93 false positives per image. The proposed method has been implemented by C language and different outputs of the functions are given in the paper.

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