Breast Cancer Detection Using Cluster Algorithm and Topology Creation

Authors(2) :-A. Nandhini, V. J. Arul Karthick

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.

Authors and Affiliations

A. Nandhini
Department of Electronics and Communication Engineering, SNS College of Technology, Tamilnadu, India
V. J. Arul Karthick
Department of Electronics and Communication Engineering, SNS College of Technology, Tamilnadu, India

Micro Calcification, Segmentation

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Publication Details

Published in : Volume 2 | Issue 2 | March-April 2016
Date of Publication : 2017-12-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 116-120
Manuscript Number : IJSRSET162227
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

A. Nandhini, V. J. Arul Karthick, " Breast Cancer Detection Using Cluster Algorithm and Topology Creation , International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 2, pp.116-120, March-April-2016.
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