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Volumn 3150, Issue , 2004, Pages 188-195

Brain MR Image Segmentation Using Fuzzy Clustering with Spatial Constraints Based on Markov Random Field Theory

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; AUGMENTED REALITY; CLASSIFICATION (OF INFORMATION); FUZZY CLUSTERING; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; MARKOV PROCESSES; MEDICAL IMAGING;

EID: 35048856222     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-28626-4_23     Document Type: Article
Times cited : (27)

References (11)
  • 1
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    • On applying spatial constraints in fuzzy image clustering using a fuzzy rule-basedsystem
    • Y. A. Tolias and S. M. Panas: On applying spatial constraints in fuzzy image clustering using a fuzzy rule-basedsystem. IEEE Signal Process. Lett. 5(10), 1998, 245-247
    • (1998) IEEE Signal Process. Lett. , vol.5 , Issue.10 , pp. 245-247
    • Tolias, Y.A.1    Panas, S.M.2
  • 2
    • 0032070619 scopus 로고    scopus 로고
    • Image segmentation by a fuzzy clustering algorithm using adaptive spatially constrained membership functions
    • Y. A. Tolias and S. M. Panas: Image segmentation by a fuzzy clustering algorithm using adaptive spatially constrained membership functions. IEEE Trans. Systems, Man, Cybernet. A 28(3), 1998, 359-369
    • (1998) IEEE Trans. Systems, Man, Cybernet. A , vol.28 , Issue.3 , pp. 359-369
    • Tolias, Y.A.1    Panas, S.M.2
  • 3
    • 0033871373 scopus 로고    scopus 로고
    • Scale space classification using area morphology
    • S. T. Acton and D. P. Mukherjee: Scale space classification using area morphology. IEEE Trans. Image Process, 9(4), 2000, 623-635
    • (2000) IEEE Trans. Image Process , vol.9 , Issue.4 , pp. 623-635
    • Acton, S.T.1    Mukherjee, D.P.2
  • 6
    • 0036489378 scopus 로고    scopus 로고
    • A Modified Fuzzy C-Means Algorithm for Bias Field Estimation and Segementation of MRI Data
    • M. N. Ahmed, Sameh M. Yamany, Nevin Mohamed, Aly A. Farag and Thomas Moriarity: A Modified Fuzzy C-Means Algorithm for Bias Field Estimation and Segementation of MRI Data. IEEE trans. On Medical Imaging, 21(3):193-199, 2002
    • (2002) IEEE Trans. on Medical Imaging , vol.21 , Issue.3 , pp. 193-199
    • Ahmed, M.N.1    Yamany, S.M.2    Mohamed, N.3    Farag, A.A.4    Moriarity, T.5
  • 8
    • 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. Medical Imaging, 20(1):45-57, 2001
    • (2001) IEEE Trans. Medical Imaging , vol.20 , Issue.1 , pp. 45-57
    • Zhang, Y.1    Brady, M.2    Smith, S.3
  • 9
    • 0021518209 scopus 로고
    • Stochastic relaxation, Gibbs distribution, and the Bayesian Restoration of Images
    • S. German and D. German: Stochastic relaxation, Gibbs distribution, and the Bayesian Restoration of Images. IEEE Trans. Patter Anal. Machine Intell., Vol. PAMI-6, No. 6, pp. 721-741, 1984
    • (1984) IEEE Trans. Patter Anal. Machine Intell , vol.PAMI-6 , Issue.6 , pp. 721-741
    • German, S.1    German, D.2
  • 10
    • 0033181293 scopus 로고    scopus 로고
    • Prince: Adaptive fuzzy segmentation of magnetic resonance images
    • [2]
    • Dzung L. Pham, Jerry L. Prince: Adaptive fuzzy segmentation of magnetic resonance images. IEEE Trans. On Medical Imaging, 18(9): 737-752[2], 1999
    • (1999) IEEE Trans. on Medical Imaging , vol.18 , Issue.9 , pp. 737-752
    • Pham, D.L.1    Jerry, L.2
  • 11
    • 0037347070 scopus 로고    scopus 로고
    • MultiContext fuzzy clustering for separation of brain tissues in magnetic resonance images
    • C. Z. Zhu, T. Z. Jiang: MultiContext fuzzy clustering for separation of brain tissues in magnetic resonance images. Neurolmage, Vol.18, No.3, pp. 685-696, 2003
    • (2003) Neurolmage , vol.18 , Issue.3 , pp. 685-696
    • Zhu, C.Z.1    Jiang, T.Z.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.