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Volumn 7259, Issue , 2009, Pages

Segmentation of mosaicism in cervicographic images using support vector machines

Author keywords

[No Author keywords available]

Indexed keywords

BIOMEDICAL IMAGES; CERVICAL INTRAEPITHELIAL NEOPLASIAS; DATA SETS; DIGITAL REPOSITORY; GROUND TRUTH; IMAGE APPEARANCE; MEDICAL EXPERTS; NATIONAL CANCER INSTITUTE; NATIONAL LIBRARY OF MEDICINES; RESEARCH GOALS; UTERINE CERVIX; VASCULAR STRUCTURES;

EID: 71649105494     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.812318     Document Type: Conference Paper
Times cited : (8)

References (19)
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  • 4
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    • Li, W.1    Poisson, A.2
  • 5
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    • Design and methods of a population-based natural history study of cervical neoplasia in a rural province of Costa Rica: The Guanacaste project
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  • 6
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  • 7
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    • January
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    • Jeronimo, J.1    Long, R.2    Neve, L.3
  • 8
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    • S. Gordon, G. Zimmerman and H. Greenspan, Image segmentation of uterine cervix images for indexing in PACS, Proc. of the 17th IEEE Symposium on Computer-Based Medical Systems, pp. 298-303, CBMS 2004, Bethesda, MD, 2004.
    • S. Gordon, G. Zimmerman and H. Greenspan, "Image segmentation of uterine cervix images for indexing in PACS", Proc. of the 17th IEEE Symposium on Computer-Based Medical Systems, pp. 298-303, CBMS 2004, Bethesda, MD, 2004.
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    • X. Huang, W. Wang, Z. Xue, S. Antani, L. R. Long, J. Jeronimo, Tissue classification using cluster features for lesion detection in digital cervigrams, Proc. of SPIE Medical Imaging, 6914, pp. 69141Z-1-8, February 2008
    • X. Huang, W. Wang, Z. Xue, S. Antani, L. R. Long, J. Jeronimo, "Tissue classification using cluster features for lesion detection in digital cervigrams", Proc. of SPIE Medical Imaging, Vol. 6914, pp. 69141Z-1-8, February 2008
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.