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Volumn , Issue , 2009, Pages 4399-4402

Segmentation and length measurement of the abdominal blood vessels in 3-D MRI images

Author keywords

[No Author keywords available]

Indexed keywords

DIAGNOSIS; GRAPH THEORY; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING;

EID: 77950991364     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2009.5333689     Document Type: Conference Paper
Times cited : (9)

References (7)
  • 2
    • 0035248508 scopus 로고    scopus 로고
    • A New Approach for the Morphological Segmentation of High-Resolution Satellite Imagery
    • Feb.
    • M. Pesaresi, J. A. Benediktsson: A New Approach for the Morphological Segmentation of High-Resolution Satellite Imagery, IEEE Trans. Geosci. Remote Sens., vol.39, no.2, Feb. 2001.
    • (2001) IEEE Trans. Geosci. Remote Sens. , vol.39 , Issue.2
    • Pesaresi, M.1    Benediktsson, J.A.2
  • 5
    • 77951011687 scopus 로고    scopus 로고
    • The shortest path calculation between points of interest in 3-D MRI images of blood vessels
    • Babin, Danilo; De Bock, Johan; Pižurica, Aleksandra; Philips, Wilfried: The shortest path calculation between points of interest in 3-D MRI images of blood vessels, ProRISC Proceedings (2008): 295-298.
    • (2008) ProRISC Proceedings , pp. 295-298
    • Babin, D.1    De Bock, J.2    Pižurica, A.3    Philips, W.4
  • 6
    • 26844490168 scopus 로고    scopus 로고
    • Automatic Separate Algorithm of Vein and Artery for Auto-segmentation Liver-Vessel from Abdominal MDCT Image Using Morphological Filtering
    • Springer
    • C. Park, E. Cho, Y. Kwon, M. Park, J. Park: Automatic Separate Algorithm of Vein and Artery for Auto-segmentation Liver-Vessel from Abdominal MDCT Image Using Morphological Filtering, Lecture notes in computer science, Springer (2005): 1069-1078.
    • (2005) Lecture Notes in Computer Science , pp. 1069-1078
    • Park, C.1    Cho, E.2    Kwon, Y.3    Park, M.4    Park, J.5
  • 7
    • 77950995819 scopus 로고    scopus 로고
    • The Medical Imaging Interaction Toolkit, http://www.mitk.org


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.