메뉴 건너뛰기




Volumn 165 AISC, Issue , 2012, Pages 785-792

Unsupervised brain MRI segmentation using improved expectation-maximization algorithm

Author keywords

Bayesian Information Criterion; Expectation Maximization; Image Segmentation; MRI

Indexed keywords

BAYESIAN INFORMATION CRITERION; BRAIN MRI; DATA DISTRIBUTION; EXPECTATION MAXIMIZATION; EXPECTATION-MAXIMIZATION ALGORITHMS; IMAGE PIXELS; MAGNETIC RESONANCE IMAGES; MR IMAGES; SEGMENTATION METHODS; UNSUPERVISED IMAGE SEGMENTATION;

EID: 84861856329     PISSN: 18675662     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-29637-6_106     Document Type: Conference Paper
Times cited : (2)

References (13)
  • 3
    • 0041965980 scopus 로고    scopus 로고
    • Cluster ensembles-acknowledge reuse framework for combining multiple partitions
    • May
    • Strehl, A., Ghosh, J.: Cluster Ensembles-Acknowledge Reuse Framework for Combining Multiple Partitions. Journal of Machine Learning Research, 583-617 (May 2002)
    • (2002) Journal of Machine Learning Research , pp. 583-617
    • Strehl, A.1    Ghosh, J.2
  • 4
    • 77958057471 scopus 로고    scopus 로고
    • 2010 2nd International Conference on Computer Engineering and Technology (ICCET), April 16-18
    • Tang, J.: A Color Image Segmentation algorithm Based on Region Growing. In: 2010 2nd International Conference on Computer Engineering and Technology (ICCET), April 16-18, pp. 634-637 (2010)
    • (2010) A Color Image Segmentation Algorithm Based on Region Growing , pp. 634-637
    • Tang, J.1
  • 6
    • 3242779343 scopus 로고    scopus 로고
    • Hidden Markov bayesian texture segmentation using complex wavelet transform
    • Sun, J., Gu, D., Zhang, S., et al.: Hidden Markov bayesian texture segmentation using complex wavelet transform. IEEE Vision Image Signal Processing 151(3), 215-223 (2004)
    • (2004) IEEE Vision Image Signal Processing. , vol.151 , Issue.3 , pp. 215-223
    • Sun, J.1    Gu, D.2    Zhang, S.3
  • 10
    • 24144441307 scopus 로고    scopus 로고
    • A Stochastic Method for Bayesian Estimation of Hidden Markov Random Field Models with Application to a Color Model
    • Destrempes, F., Mignotte, M., Angers, J.-F.: A Stochastic Method for Bayesian Estimation of Hidden Markov Random Field Models With Application to a Color Model. IEEE Transactions on Image Processing 14(8), 1096-1108 (2005)
    • (2005) IEEE Transactions on Image Processing , vol.14 , Issue.8 , pp. 1096-1108
    • Destrempes, F.1    Mignotte, M.2    Angers, J.-F.3
  • 11
    • 0038192253 scopus 로고    scopus 로고
    • Rate-distortion modeling for multiscale binary shape coding based on markov random fields
    • Vetro, A., Wang, Y., Sun, H.: Rate-Distortion Modeling for Multiscale Binary Shape Coding Based on Markov Random Fields. IEEE Transaction on Image Processing 12(3), 356-364 (2003)
    • (2003) IEEE Transaction on Image Processing. , vol.12 , Issue.3 , pp. 356-364
    • Vetro, A.1    Wang, Y.2    Sun, H.3
  • 12
    • 66249118025 scopus 로고    scopus 로고
    • Prostate cancer segmentation with simultaneous estimation of markov random field parameters and class
    • Liu, X., Langer, D.L., Haider, M.A., Yang, Y., Wernick, M.N., Yetik, I.S.: Prostate Cancer Segmentation With Simultaneous Estimation of Markov Random Field Parameters and Class. IEEE Transactions on Medical Imaging 28(6), 906-915 (2009)
    • (2009) IEEE Transactions on Medical Imaging , vol.28 , Issue.6 , pp. 906-915
    • Liu, X.1    Langer, D.L.2    Haider, M.A.3    Yang, Y.4    Wernick, M.N.5    Yetik, I.S.6
  • 13
    • 64349105831 scopus 로고    scopus 로고
    • Managing the spectral-spatial mix in context classification using markov random fields
    • Jia, X., Richards, J.A.: Managing the Spectral-Spatial Mix in Context Classification Using Markov Random Fields. IEEE Geoscience and Remote Sensing Letters 5(2), 311-314 (2008)
    • (2008) IEEE Geoscience and Remote Sensing Letters , vol.5 , Issue.2 , pp. 311-314
    • Jia, X.1    Richards, J.A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.