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Volumn 50, Issue 1-2, 2006, Pages 69-78

Medical image processing methods for the development of a virtual endoscope

Author keywords

3 D surface reconstruction; Endoscope; Magnetic resonance imaging; Virtual reality

Indexed keywords

ALGORITHMS; COMPUTERIZED TOMOGRAPHY; ENDOSCOPY; IMAGE RECONSTRUCTION; MAGNETIC RESONANCE IMAGING; VIRTUAL REALITY;

EID: 34047142632     PISSN: 03246000     EISSN: 15873781     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (9)

References (17)
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    • AHMED, M.N.1    YAMANY, S.M.2    MOHAMED, N.3    FARAG, A.A.4    MORIARTY, T.5
  • 3
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  • 4
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    • A Geometric Model for Active Contours
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    • (1993) Numer. Math , vol.66 1 , pp. 1-31
    • CASELLES, V.1    CATTE, F.2    COLL, T.3    DIBOS, F.4
  • 6
    • 0141857203 scopus 로고    scopus 로고
    • An Adaptive Spatial Fuzzy Clustering Algorithm for 3-D MR Image Segmentation
    • LIEW, A. W. C. - YAN, H.: An Adaptive Spatial Fuzzy Clustering Algorithm for 3-D MR Image Segmentation, IEEE Trans. Medical Imaging, Vol. 22, No. 9, pp. 1063-1075, 2003.
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    • LIEW, A.W.C.1    YAN, H.2
  • 7
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  • 8
    • 0033713055 scopus 로고    scopus 로고
    • LORIGO, L. M. - GRIMSON, W. - ERIC, L. - FAUGERAS, O.- KERIVEN, R.- KIKINIS, R.-NABAVI, A.-WESTIN, C. F.: Two Geodesic Active Contours for the Segmentation of Tubular Structures, Proc. Comput. Vision Pattern Recognition, June 2000, pp. 444-451.
    • LORIGO, L. M. - GRIMSON, W. - ERIC, L. - FAUGERAS, O.- KERIVEN, R.- KIKINIS, R.-NABAVI, A.-WESTIN, C. F.: Two Geodesic Active Contours for the Segmentation of Tubular Structures, Proc. Comput. Vision Pattern Recognition, June 2000, pp. 444-451.
  • 11
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    • Adaptive Fuzzy Segmentation of Magnetic Resonance Images
    • PHAM, D. L. - PRINCE, J. L.: Adaptive Fuzzy Segmentation of Magnetic Resonance Images, IEEE Trans. Medical Imaging, 18/9 (1999), pp. 737-752.
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  • 15
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    • Virtual Brain Endoscopy Based on Magnetic Resonance Images, Periodica Politechnica, TU Timisoara, Trans. Automatic Control and Computer
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  • 17
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.