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Volumn 36, Issue 3, 2012, Pages 1901-1907

A pilot study on image analysis techniques for extracting early uterine cervix cancer cell features

Author keywords

Cervical cancer; Cytopathological cell images; Medical image analysis; Pap smear

Indexed keywords

ACCURACY; ARTICLE; CANCER CELL; CLINICAL ARTICLE; CYTOPATHOLOGY; FEMALE; FOURIER TRANSFORMATION; HUMAN; HUMAN CELL; IMAGE ANALYSIS; NOISE REDUCTION; PILOT STUDY; UTERINE CERVIX CANCER; UTERINE CERVIX CARCINOMA IN SITU;

EID: 84864060302     PISSN: 01485598     EISSN: 1573689X     Source Type: Journal    
DOI: 10.1007/s10916-010-9649-y     Document Type: Article
Times cited : (13)

References (17)
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  • 8
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    • Comparison of neural network architectures for cervical classification
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    • An automated method for segmentation of epithelial cervical cells in images of thinprep
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  • 11
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    • Automated edge detection technique for pap smear images using moving K-means clustering and modified seed based region growing algorithm
    • Mat-Isa, N. A., Automated edge detection technique for pap smear images using moving K-means clustering and modified seed based region growing algorithm. Int J Comput Internet Manage 13 (3):45-59, 2005.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.