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Breast Cancer Detection Using Cluster Algorithm and Topology Creation

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  • A. Nandhini
  • V. J. Arul Karthick

Abstract

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 is 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.

Suggested Citation

  • A. Nandhini & V. J. Arul Karthick, 2016. "Breast Cancer Detection Using Cluster Algorithm and Topology Creation," International Journal of Scientific Research in Science, Engineering and Technology, International Journal of Scientific Research in Science, Engineering and Technology, vol. 2(2), pages 116-120, December.
    • Handle: RePEc:ijs:ijsrse:v2:y2016:i2:id:hijsrset162227
    Note: Article URL: https://ijsrset.com/IJSRSET162227
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