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Volumn 1, Issue 3, 2011, Pages

Segmentation of multiple sclerosis lesions in brain MR images using spatially constrained possibilistic fuzzy C-means classification

Author keywords

brain imaging; Fuzzy classification; multiple sclerosis lesions; spatial information

Indexed keywords


EID: 84880421452     PISSN: None     EISSN: 22287477     Source Type: Journal    
DOI: 10.4103/2228-7477.95278     Document Type: Article
Times cited : (19)

References (16)
  • 2
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    • A novel method for automaticdetermination of different stages of multiple sclerosis lesions in brain mr flair images
    • R. Khayati, M. Vafadust, F. Towhidkhah and S. M. Nabavi, " A novel method for automaticdetermination of different stages of multiple sclerosis lesions in brain MR FLAIR images, " Computerized Medical Imaging and Graphics, 32, pp. 124-133, 2008.
    • (2008) Computerized Medical Imaging and Graphics , vol.32 , pp. 124-133
    • Khayati, R.1    Vafadust, M.2    Towhidkhah, F.3    Nabavi, S.M.4
  • 4
    • 85026639605 scopus 로고    scopus 로고
    • A robust expectation-maximization algorithm for multiple sclerosis lesion segmentation"
    • D. Lorenzo, S. Prima, S. Morrissey and C. Barillot, "A robust Expectation-Maximization algorithm for Multiple Sclerosis lesion segmentation", in proceeding of MICCAI, 2008.
    • (2008) Proceeding of MICCAI
    • Lorenzo, D.1    Prima, S.2    Morrissey, S.3    Barillot, C.4
  • 5
    • 85026627483 scopus 로고    scopus 로고
    • Automatic ms lesion segmentation by outlier detection and information theoretic regionpartitioning
    • M. Prastawa and G. Guido, " Automatic MS Lesion Segmentation by Outlier Detection and Information Theoretic RegionPartitioning, " MIDAS Journal, 2008.
    • (2008) MIDAS Journal
    • Prastawa, M.1    Guido, G.2
  • 7
    • 0345134269 scopus 로고    scopus 로고
    • Segmentation of multiple sclerosis lesions from mr brain images using the principles of fuzzy-connectedness and artificial neuron networks
    • Barcelona, Catalonia, Spain
    • F. Admasu, S. Al-Zubi, K. Toennies, N. Bodammer and H. Hinrichs, "Segmentation of multiple sclerosis lesions from MR brain images using the principles of fuzzy-connectedness and artificial neuron networks, ", in IEEE Proceedings of International Conference on Image Processing, ICIP 2003, pp. 1081-1084, Barcelona, Catalonia, Spain, 2003.
    • (2003) IEEE Proceedings of International Conference on Image Processing, ICIP 2003 , pp. 1081-1084
    • Admasu, F.1    Al-Zubi, S.2    Toennies, K.3    Bodammer, N.4    Hinrichs, H.5
  • 13
    • 33745149669 scopus 로고    scopus 로고
    • 3D brain tumor segmentation using fuzzy classification and deformable models"
    • H. Khotanlou, J. Atif, O. Collio and I. Bloch, "3D brain tumor segmentation using fuzzy classification and deformable models", LNCS, Vol. 3849, 312-318, 2005.
    • (2005) LNCS , vol.3849 , pp. 312-318
    • Khotanlou, H.1    Atif, J.2    Collio, O.3    Bloch, I.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.