지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 저널정보
- 한국정보통신학회 INTERNATIONAL CONFERENCE ON FUTURE INFORMATION & COMMUNICATION ENGINEERING 2014 INTERNATIONAL CONFERENCE ON FUTURE INFORMATION & COMMUNICATION ENGINEERING Vo.6 No.1
- 발행연도
- 2014.6
- 수록면
- 579 - 582 (4page)
이용수
초록· 키워드
오류제보하기
A new method of digital image analysis technique for diagnosis of cancer cell was presented in this paper. The object cell images were Thyroid Gland cells image that diagnosed as normal cell, follicular neoplastic cell, and papillary neoplastic cell, respectively. This paper uses the distribution function of power spectral density of the fourier transform as the feature parameter in the transform domain, the result of which was compared with generally used feature parameters in spatial domain. The segmentation for separation of nucleus is carried out by contour following method with directional angle. The features of nucleus are extracted from microscopic images. The generally used 16 feature parameters are extracted in the spatial domain for comparison.
목차
Abstract
I. INTRODUCTION
II. CLINICAL CYTOLOGY AND THYROID GLAND CELLS
III. DISCRIMINATION OF CANCER CELL
IV. CONCLUSIONS
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2018-004-000963230