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Volumn 1935, Issue , 2000, Pages 72-82

Small sample size learning for shape analysis of anatomical structures

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); MEDICAL COMPUTING; RADIAL BASIS FUNCTION NETWORKS; SUPPORT VECTOR MACHINES;

EID: 84945546703     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-40899-4_8     Document Type: Conference Paper
Times cited : (44)

References (17)
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    • Burges, C.1
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    • Eds. B. Schölkopf, C.J.C. Burges, A.J. Smola, MIT Press
    • C. J. C. Burges. Geometry and Invariance in Kernel Based Methods. In Advances in Kernel Methods: Support Vector Learning, Eds. B. Schölkopf, C.J.C. Burges, A.J. Smola, MIT Press, 89-116, 1998.
    • (1998) Advances in Kernel Methods: Support Vector Learning , pp. 89-116
    • Burges, C.1
  • 5
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    • The Use of Active Shape Models for Locating Structures in Medical Images
    • T. F. Cootes et al. The Use of Active Shape Models for Locating Structures in Medical Images. Image and Vision Computing, 12(6):355-366, 1994.
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    • Hippocampal morphometry in schizophrenia by high dimensional brain mapping
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  • 7
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    • The multiscale medial axis and its applications in image registration
    • D. S. Fritsch et al. The multiscale medial axis and its applications in image registration. Patter Recognition Letters, 15:445-452 1994.
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  • 10
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    • Shape Analysis of Brain Structures Using Physical and Experimental Models
    • J. Martin, A. Pentland, and R. Kikinis. Shape Analysis of Brain Structures Using Physical and Experimental Models. In Proc. CVPR’94, 752-755, 1994.
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    • Statistical Shape Influence in Geodesic Active Countours
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.