Genetic Algorithm for Detection of Cancer

Authors

  • Sujata R. Jadhao  Information Technology, Anuradha Engineering college, Chikhli, Maharashtra, India
  • Akangsha Gawai  Information Technology, Anuradha Engineering college, Chikhli, Maharashtra, India
  • Prof. Chhajed  Information Technology, Anuradha Engineering college, Chikhli, Maharashtra, India

Keywords:

Cancer, Genetic Algorithm, Crossover, Mutation

Abstract

One of the major disease is cancer. Several deaths occur due to overdue of detection of this disease. At present, several researchers trying to find the appropriate system to detect the diseases early, so as to find medical treatment of it. The Genetic Algorithm(GA) is one of the optimization method. The first part of this shebang briefly traces their theory , explain essential concept and deliberate theoretical aspects. The second part center at an detailed implementation of GA. Its discuss the population, selection, crossover and mutation also implementation of image in GA to detect cancer tumor. Genetic Algorithm is used to produce new generation by using crossover operation and also to do some modification on new generation. It gives good detection rate.

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Published

2020-02-17

Issue

Section

Research Articles

How to Cite

[1]
Sujata R. Jadhao, Akangsha Gawai, Prof. Chhajed, " Genetic Algorithm for Detection of Cancer, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 5, Issue 6, pp.173-179, January-February-2020.