Topological Model and Classification of Clustered Microcalcification in Digitized Mammogram

Microcalcification 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 microcalcification 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 is tend to concentrate on to the morphological of microcalcification and/or statistical cluster features. In this paper , the proposed method is fuzzy techniques are used to detect the malignant or benign. A graph generation is a set of microcalcification is to represent the multiple scale at topological structure of microcalcification clusters.