Breast Cancer Detection Using Cluster Algorithm and Topology Creation

Authors

  • 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

Keywords:

Micro Calcification, Segmentation

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.

References

  1. Zhili Chen, Harry Strange, Arnau Oliver, Erika R. E. Denton, Caroline Boggis, and Reyer Zwiggelaar," Topological Modeling and Classification of Mammographic Micro calcification Clusters", IEEE transactions on biomedical engineering, vol. 62, NO. 4, APRIL 2015.
  2. Heang-Ping Chany, Berkman Sahiner, Nicholas Petrick" Computerized classification of malignant and benign microcalcifications on mammograms: texture analysis using an artificial neural network,IEEE transactions on biomedical engineering,(2001).
  3. Nizar Ben Hamad, Mohamed Ellauze* and Med Salim Bouhlel" Wavelets Investigation for Computer Aided Detection of Micro calcification in Breast Cancer" IEEE transaction 978-1-4244-3757-3/09/$25.00 ©2009.4
  4. F. Dehghan, H. Abrishami-Moghaddam, M. Giti" Automatic Detection of Clustered Micro calcifications in Digital Mammograms: Study on Applying Adaboost with SVM-based Component Classifiers"IEEE transaction August 20-24, 2008.
  5. Robert M. Nishikawa, Dulcy E. Wolverton" Computerized Classification of Malignant and benign Clustered Micro calcifications in Mammograms"IEEE transaction Oct. 30 - Nov. 2, 1997 Chicago, IL. USA
  6. Shrinivas D Desai, Megha G" Detection of Micro calcification in Digital Mammograms by Improved-MMGW Segmentation Algorithm"IEEE transaction on 2013.
  7. Liang Shen, Rangaraj M. Rangayyan, and J. E. Leo Desautels" Application of Shape Analysis to Mammographic Calcifications" IEEE transactions ok Medical imaging, vol 13. no. 2. June 1994.
  8. Joachim Dengler, Sabine Behrens, and Johann Friedrich Desaga" Segmentation of Micro calcifications in Mammograms" IEEE transactions on Medical imaging, vol. 12, no. 4, december 1993.
  9. Caro Lucas, Gelareh Mortezaie" Analysis of Mammographic Micro calcifications Using gray –level Images and Neural Networks" IEEE transactions on medical imaging, vol. 12, no. 4, december 2001.
  10. 10. Ayman A. AbuBaker" Automatic Micro calcification Detection Using Wavelet Transform" International Journal of Computer Theory and Engineering, Vol. 7, No. 1, February 2015.
  11. H.Strange et al.,"Modelling mammographic micro calcification clusters using persistant mereotopology",Pattern Recog.Lett.,vol.47,pp.157-163,2014.
  12. Chun-Ming Chang and Andrew Laine"Coherence of Multiscale Features for Enhancement of Digital Mammograms"IEEE trans on information tech in biomedical,vol.,3,march 1999.
  13. A. F. Laine, S. Schuler, J. Fan, and W. Huda, "Mammographic feature enhancement by multiscale analysis," IEEE Trans. Med. Imag., vol. 13,pp. 725–740, Apr. 1994.
  14. Chen et al., "Analysis of mammographic micro calcification clusters using topological features," in Breast Imaging (ser. Lecture Notes in ComputerScience), vol. 8539, H. Fujita, T. Hara, and C. Muramatsu, Eds. NewYork, NY, USA: Springer, 2014, pp. 620–627.
  15. J. Dengler et al., "Segmentation of micro calcifications in mammograms,"IEEE Trans. Med.Imag., vol. 12, no. 4, pp. 634–642, Dec. 1993.

International Journal of Scientific Research in Science, Engineering and Technology

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Published

2017-12-31

Issue

Volume 2, Issue 2, March-April-2016

Section

Research Articles

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How to Cite

[1]
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.