Breast Cancer Detection Using Cluster Algorithm and Topology Creation

Micro calcification is a tiny abnormal deposit of calcium salt especially in the breast cancer that in the human female is often an indicator of breast cancer. In currently the micro calcification cluster is a important primary sign of breast cancer. The breast cancer is detected the early stage and it is identify the benign or malignant. The existing approaches are tend to concentrate on to the morphological of micro calcification and/or statistical cluster features. In this paper, the proposed method is K-Means techniques are used to detect the malignant or benign. A graph generation is a set of micro calcification is to represent the multiple scale at topological structure of micro calcification clusters.