메뉴 건너뛰기




Volumn , Issue , 2009, Pages

Brain MR image segmentation with fuzzy C-means and using additional shape elements;Beyin MR görüntülerinin şekil elemanlari katilarak bulanik C-ortalama yöntemiyle kümelenmesi

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN IMAGES; BRAIN MR IMAGE SEGMENTATION; FUZZY C MEAN; INPUT VECTOR; MEMBERSHIP VALUES; SHAPE ELEMENTS; STANDARD METHOD;

EID: 70350223705     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BIYOMUT.2009.5130271     Document Type: Conference Paper
Times cited : (3)

References (9)
  • 3
    • 57649199940 scopus 로고    scopus 로고
    • Image Segmentation Using Fuzzy Clustering with Spatial Constraints Based on Markov Random Field via Bayesian Theory, IEICE Trans
    • March
    • X. Taiyi, Z. Zhan. Image Segmentation Using Fuzzy Clustering with Spatial Constraints Based on Markov Random Field via Bayesian Theory, IEICE Trans. Fundementals, Vol.E91-A. March 2008
    • (2008) Fundementals , vol.E91-A
    • Taiyi, X.1    Zhan, Z.2
  • 5
    • 84869639872 scopus 로고    scopus 로고
    • Internet Brain Segmentation Repository IBSR
    • Internet Brain Segmentation Repository (IBSR), http://www.cma.mgh. harvard.edu/ibsr/
  • 7
    • 0034745001 scopus 로고    scopus 로고
    • Segmentation of brain MR images through a hidden Markov random field model and the expectation maximization algorithm
    • Y. Zhang, M. Brady, and S. Smith. Segmentation of brain MR images through a hidden Markov random field model and the expectation maximization algorithm. IEEE Trans. on Medical Imaging, 20(1):45-57, 2001.
    • (2001) IEEE Trans. on Medical Imaging , vol.20 , Issue.1 , pp. 45-57
    • Zhang, Y.1    Brady, M.2    Smith, S.3
  • 9
    • 25644459607 scopus 로고    scopus 로고
    • the MIT Press, Cambridge, Massachusetts, London, England
    • Ethem Alpaydin, Introduction to Machine Learning, the MIT Press, Cambridge, Massachusetts, London, England, 2004
    • (2004) Introduction to Machine Learning
    • Alpaydin, E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.