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Volumn , Issue , 2010, Pages 133-136

Discriminative sparse representations for cervigram image segmentation

Author keywords

Biomarker acetowhite; Cervix image; Classification; Discriminative sparse representation; Reconstructive errors; Segmentation

Indexed keywords

BIOMARKERS; CLASSIFICATION (OF INFORMATION); GEOMETRICAL OPTICS; MEDICAL IMAGING;

EID: 77955202718     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2010.5490397     Document Type: Conference Paper
Times cited : (27)

References (16)
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  • 6
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  • 8
    • 34948841026 scopus 로고    scopus 로고
    • Singlehistogram class models for image segmentation
    • F. Schroff, A. Criminisi, and A. Zisserman, "Singlehistogram class models for image segmentation," in ICVGIP, 2006.
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    • Schroff, F.1    Criminisi, A.2    Zisserman, A.3
  • 10
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  • 11
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    • Simultaneous truth and performance level estimation (staple): An algorithm for the validation of image segmentation
    • S. K. Warfield, K. H. Zou, and W. M. Wells, "Simultaneous truth and performance level estimation (staple): An algorithm for the validation of image segmentation," in IEEE Trans. on Medical Imaging, 2004, pp. 903-921.
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    • Warfield, S.K.1    Zou, K.H.2    Wells, W.M.3
  • 12
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    • Distance guided selection of the best base classifier in an ensemble with application to cervigram image segmentation
    • W. Wang and X. Huang, "Distance guided selection of the best base classifier in an ensemble with application to cervigram image segmentation," in MMBIA, 2009.
    • (2009) MMBIA
    • Wang, W.1    Huang, X.2
  • 14
    • 51949103923 scopus 로고    scopus 로고
    • Discriminative learned dictionaries for local image analysis
    • J. Mairal, F. Bach, J. Ponce, G. Sapiro, and A. Zisserman, "Discriminative learned dictionaries for local image analysis," in CVPR, 2008, pp. 1-8.
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  • 15
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  • 16
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    • K-svd: An algorithm for designing overcomplete dictionaries for sparse representation
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.