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Volumn 2006, Issue , 2006, Pages 832-837

Classification of cervix lesions using filter bank-based texture models

Author keywords

[No Author keywords available]

Indexed keywords

MATCHED FILTERING; MOSAIC PATTERNS; SEGMENT PUNCTATIONS;

EID: 33845588947     PISSN: 10637125     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CBMS.2006.66     Document Type: Conference Paper
Times cited : (18)

References (15)
  • 2
    • 0024587108 scopus 로고
    • The papanicolaou test for cervical cancer detection. A triumph and tragedy
    • L. G. Koss, "The Papanicolaou Test for Cervical Cancer Detection. A Triumph and Tragedy," JAMA, Vol. 261, pp. 773-774, 1989.
    • (1989) JAMA , vol.261 , pp. 773-774
    • Koss, L.G.1
  • 8
    • 0035358496 scopus 로고    scopus 로고
    • Representing and recognizing the visual appearance of materials using three-dimensional textons
    • T. Leung, J. Malik, "Representing and Recognizing the Visual Appearance of Materials Using Three-Dimensional Textons," Intl. Journal of Computer Vision, Vol. 43(1), pp. 29-44, 2001
    • (2001) Intl. Journal of Computer Vision , vol.43 , Issue.1 , pp. 29-44
    • Leung, T.1    Malik, J.2
  • 9
    • 84949963705 scopus 로고    scopus 로고
    • Classifying images of materials: Achieving viewpoint and illumination independence
    • Springer-Verlag
    • M. Varma, A. Zisserman, "Classifying Images of Materials: Achieving Viewpoint and Illumination Independence," Proc. Of the European Conference on Computer Vision, Vol. 3, pp. 255-271, Springer-Verlag, 2002
    • (2002) Proc. of the European Conference on Computer Vision , vol.3 , pp. 255-271
    • Varma, M.1    Zisserman, A.2
  • 11
    • 1942448423 scopus 로고    scopus 로고
    • Technical Report Number GIT-GVU-0220, College of Computing, Georgia Institute of Technology
    • F. Dellaert, "The expectation Maximization Algorithm," Technical Report Number GIT-GVU-0220, College of Computing, Georgia Institute of Technology
    • The Expectation Maximization Algorithm
    • Dellaert, F.1
  • 15


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.