Journal of information and communication convergence engineering

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Cancer Cell Recognition by Fuzzy Logic

  • Na, Cheol-Hun (Department of Information & Communication Engr., Mokpo Nat'l Univ.)
  • Received : 2011.07.18
  • Accepted : 2011.08.03
  • Published : 2011.08.31
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Abstract

This paper proposes the new method based on fuzzy logic which recognizes between normal and abnormal. The object image was the Thyroid Gland cell image that was diagnosed as normal and abnormal(two types of abnormal : follicular neoplastic cell, and papillary neoplastic cell), respectively. The nuclei were successfully diagnosed as normal and abnormal. The multiple feature parameters (pre-obtained 16 feature parameters of image data) were used to extract the features of each nucleus. As a consequence of using fuzzy logic algorithm, proposed in this paper, average recognition rate of 98.25% was obtained.

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References

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