Breast cancer is one of the most common cancers among women worldwide. Mass detection from mammogram helps in early detection of breast cancer. A Computer Aided Detection (CAD) system which will help to identify and detect the malignant masses in human breast in an accurate and cost effective way is needed. It has been the dream and aim of researchers to have a CAD system with maximum sensitivity and low false positives per image (FPI). Detection of mass from human breast is difficult due to its abundant morphological characteristics and ambiguous margins. Mass detection performance can be improved by using effective preprocessing mechanism and morphological characteristics of the mass regions. As a mass develops, it disturbs the breast parenchyma and spreads by developing multiple concentric layers. Morphological analysis of these concentric layers is a corner stone in mass detection algorithm. Various CAD systems using concentric morphology model exist in the literature. In this paper an attempt has been made to summarize some of the existing CAD systems which use concentric morphology model for early and accurate detection of masses.

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Breast cancer Mammography Computer Aided Detection Mass detection Concentric morphology model