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Volumn 13, Issue W10, 2010, Pages 19-37

A region growing method for medical images segmentation

Author keywords

Angiography; Computer tomography; Discrete level set; Image segmentation; Mri imaging

Indexed keywords


EID: 77955988032     PISSN: 09729976     EISSN: 09737294     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (3)

References (20)
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    • Boykov, Y.1    Kolmogorov, V.2
  • 5
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    • A Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah Model
    • Chan, T., and Vese, L., 2002, A Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah Model, International Journal of Computer Vision, 50, 271-293.
    • (2002) International Journal of Computer Vision , vol.50 , pp. 271-293
    • Chan, T.1    Vese, L.2
  • 9
    • 27744506546 scopus 로고    scopus 로고
    • Image Segmentation and Selective Smoothing by Using Mumford-Shah Model
    • Gao, S., Bui, T.D., 2005, Image Segmentation and Selective Smoothing by Using Mumford-Shah Model, IEEE Transaction on Image Processing, 14, 1537-1549.
    • (2005) IEEE Transaction On Image Processing , vol.14 , pp. 1537-1549
    • Gao, S.1    Bui, T.D.2
  • 11
  • 15
    • 0018306059 scopus 로고
    • A threshold selection method from gray-level histograms
    • Otsu, N., 1979, A threshold selection method from gray-level histograms, IEEE Trans. Sys., Man., Cyber. 9, 62-66.
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    • Otsu, N.1
  • 16
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    • Liver alveolar echinococcosis in China: Clinical aspect with relative basic research
    • Peng, C. J., McManus, D., Malcolm, J., 2005, Liver alveolar echinococcosis in China: Clinical aspect with relative basic research, World Journal of Gastroenterology, 11, 4611-4617.
    • (2005) World Journal of Gastroenterology , vol.11 , pp. 4611-4617
    • Peng, C.J.1    McManus, D.2    Malcolm, J.3
  • 19
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    • Information-Theoretic Active Polygons for Unsupervised Texture Segmentation
    • Unal, G., Yezzi, A., Krim, H., 2005, Information-Theoretic Active Polygons for Unsupervised Texture Segmentation, International Journal of Computer Vision, 62, 199-220.
    • (2005) International Journal of Computer Vision , vol.62 , pp. 199-220
    • Unal, G.1    Yezzi, A.2    Krim, H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.