A`Implementation of Ant Colony Optimization Technique for Cancer Diagnosis

Authors

  • Varsha Patankar M.E. Digital Electronics, S.S.G.M. College of Engineering, Shegaon (MS)-444203 India Author
  • Devesh Nawgaje Department of EXTC, S.S.G.M. College of Engineering, Shegaon (MS)-444203 India Author
  • Rajendra Kanphade Principal, NMIET, Pune-410507, India. Author

Keywords:

Ant colony optimization, Breast cancer, Diagnosis, Edge detection, Mammogram.

Abstract

In this paper a novel approach for the detection of breast cancer is used. Many imaging techniques are introduced for the breast cancer diagnosis. In this ant colony optimization (ACO) based edge detection technique is used for the diagnosing of breast cancer. This process is used to detect outlines of an object and boundaries between objects present and the background in the image. Experimental result gives the better performance of the proposed method than other techniques.

References

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Published

2014-04-30

Issue

Vol.4, No.2 (Mar/Apr 2014)

Section

Articles

How to Cite

A`Implementation of Ant Colony Optimization Technique for Cancer Diagnosis. (2014). International Journal of Current Engineering and Technology, 4(2), 568-570. https://ijcet.evegenis.org/index.php/ijcet/article/view/575