JICCE (한국정보통신학회)
Current Result Document :
| 한글제목(Korean Title) |
Discrimination of Cancer Cell by Fuzzy Logic in Medical Images |
| 영문제목(English Title) |
Discrimination of Cancer Cell by Fuzzy Logic in Medical Images |
| 저자(Author) |
Cheol-Hun Na
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| 원문수록처(Citation) |
VOL 04 NO. 01 PP. 0036 ~ 0040 (2006. 03) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
A new method of digital image analysis technique for medical images of cancer cell is presented. This paper deals with the cancer cell discrimination. The object images were the Thyroid Gland cell images that were diagnosed as normal and abnormal. This paper proposes a new discrimination method based on fuzzy logic algorithm. The focus of this paper is an automatic discrimination of cells into normal and abnormal of medical images by dominant feature parameters method with fuzzy algorithm. As a consequence of using fuzzy logic algorithm, the nucleus were successfully diagnosed as normal and abnormal. As for the experimental result, average recognition rate of 64.66% was obtained by applying single parameter of 16 feature parameters at a time. The discrimination rate of 93.08% was obtained by proposed method.
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| 키워드(Keyword) |
Discrimination
Cancer Cell
Fuzzy Logic
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| 파일첨부 |
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