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Volumn 27, Issue 5, 2006, Pages 424-438

Parameter selection for suppressed fuzzy c-means with an application to MRI segmentation

Author keywords

Fuzzy c means; Fuzzy clustering; Magnetic resonance image segmentation; Parameter selection; Suppressed fuzzy c means

Indexed keywords

ALGORITHMS; FUZZY CONTROL; IMAGE ANALYSIS; MAGNETIC RESONANCE IMAGING; PARAMETER ESTIMATION; PATTERN RECOGNITION;

EID: 32644443104     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2005.09.005     Document Type: Article
Times cited : (61)

References (23)
  • 4
    • 0037410688 scopus 로고    scopus 로고
    • Suppressed fuzzy c-means clustering algorithm
    • J.L. Fan, W.Z. Zhen, and W.X. Xie Suppressed fuzzy c-means clustering algorithm Pattern Recognition Lett. 24 2003 1607 1612
    • (2003) Pattern Recognition Lett. , vol.24 , pp. 1607-1612
    • Fan, J.L.1    Zhen, W.Z.2    Xie, W.X.3
  • 6
    • 0028667331 scopus 로고
    • New algorithms for solving the fuzzy clustering problem
    • M.S. Kamel, and S.Z. Selim New algorithms for solving the fuzzy clustering problem Pattern Recognition 27 1994 421 428
    • (1994) Pattern Recognition , vol.27 , pp. 421-428
    • Kamel, M.S.1    Selim, S.Z.2
  • 7
    • 38149147494 scopus 로고
    • A relaxation approach to the fuzzy clustering problem
    • M.S. Kamel, and S.Z. Selim A relaxation approach to the fuzzy clustering problem Fuzzy Set. Syst. 61 1994 177 188
    • (1994) Fuzzy Set. Syst. , vol.61 , pp. 177-188
    • Kamel, M.S.1    Selim, S.Z.2
  • 8
    • 0030218261 scopus 로고    scopus 로고
    • Segmentation of multispectral magnetic resonance image using penalized fuzzy competitive learning network
    • J.S. Lin, K.S. Cheng, and C.W. Mao Segmentation of multispectral magnetic resonance image using penalized fuzzy competitive learning network Comput. Biomed. Res. 29 1996 314 326
    • (1996) Comput. Biomed. Res. , vol.29 , pp. 314-326
    • Lin, J.S.1    Cheng, K.S.2    Mao, C.W.3
  • 9
    • 0036779092 scopus 로고    scopus 로고
    • Optimal matching problem in detection and recognition performance evaluation
    • G. Liu, and R.M. Haralick Optimal matching problem in detection and recognition performance evaluation Pattern Recognition 35 2002 2125 2139
    • (2002) Pattern Recognition , vol.35 , pp. 2125-2139
    • Liu, G.1    Haralick, R.M.2
  • 10
    • 0032932780 scopus 로고    scopus 로고
    • A fuzzy clustering based segmentation system as support to diagnosis in medical imaging
    • F. Masulli, and A. Schenone A fuzzy clustering based segmentation system as support to diagnosis in medical imaging Artif. Intell. Med. 16 1999 129 147
    • (1999) Artif. Intell. Med. , vol.16 , pp. 129-147
    • Masulli, F.1    Schenone, A.2
  • 11
    • 0032274116 scopus 로고    scopus 로고
    • A new efficient fuzzy clustering method: Cutset of fuzzy c-means algorithm
    • J.H. Pei, J.L. Fan, and W.X. Xie A new efficient fuzzy clustering method: Cutset of fuzzy c-means algorithm Acta Electron. Sin. 26 1998 83 86 (in Chinese)
    • (1998) Acta Electron. Sin. , vol.26 , pp. 83-86
    • Pei, J.H.1    Fan, J.L.2    Xie, W.X.3
  • 12
    • 0028923807 scopus 로고
    • Application of fuzzy c-means segmentation technique for differentiation in MR images of a hemorrhagic glioblastoma multiforme
    • W.E. Phillips, R.P. Velthuizen, S. Phuphanich, L.O. Hall, L.P. Clarke, and M.L. Silbiger Application of fuzzy c-means segmentation technique for differentiation in MR images of a hemorrhagic glioblastoma multiforme Magn. Reson. Imaging 13 1995 277 290
    • (1995) Magn. Reson. Imaging , vol.13 , pp. 277-290
    • Phillips, W.E.1    Velthuizen, R.P.2    Phuphanich, S.3    Hall, L.O.4    Clarke, L.P.5    Silbiger, M.L.6
  • 13
    • 0014534297 scopus 로고
    • A new approach to clustering
    • E.H. Ruspini A new approach to clustering Inform. Control 15 1969 22 32
    • (1969) Inform. Control , vol.15 , pp. 22-32
    • Ruspini, E.H.1
  • 14
    • 0032845894 scopus 로고    scopus 로고
    • A modified fuzzy clustering algorithm for operator independent brain tissue classification of dual echo MR images
    • J. Suckling, T. Sigmundsson, K. Greenwood, and E.T. Bullmore A modified fuzzy clustering algorithm for operator independent brain tissue classification of dual echo MR images Magn. Reson. Imaging 17 1999 1065 1076
    • (1999) Magn. Reson. Imaging , vol.17 , pp. 1065-1076
    • Suckling, J.1    Sigmundsson, T.2    Greenwood, K.3    Bullmore, E.T.4
  • 15
    • 0034217632 scopus 로고    scopus 로고
    • Rival checked fuzzy c-means algorithm
    • L.M. Wei, and W.X. Xie Rival checked fuzzy c-means algorithm Acta Electron. Sin. 28 2000 63 66 (in Chinese)
    • (2000) Acta Electron. Sin. , vol.28 , pp. 63-66
    • Wei, L.M.1    Xie, W.X.2
  • 16
    • 0036779072 scopus 로고    scopus 로고
    • Alternative c-means clustering algorithms
    • K.L. Wu, and M.S. Yang Alternative c-means clustering algorithms Pattern Recognition 35 2002 2267 2278
    • (2002) Pattern Recognition , vol.35 , pp. 2267-2278
    • Wu, K.L.1    Yang, M.S.2
  • 17
    • 0242428948 scopus 로고
    • A combine hard clustering algorithm and fuzzy clustering algorithm-fuzzy c-means clustering algorithm with two layers
    • W.X. Xie, and J.Z. Liu A combine hard clustering algorithm and fuzzy clustering algorithm-fuzzy c-means clustering algorithm with two layers Fuzzy Syst. Math. 2 1991 77 85 (in Chinese)
    • (1991) Fuzzy Syst. Math. , vol.2 , pp. 77-85
    • Xie, W.X.1    Liu, J.Z.2
  • 19
    • 0036107314 scopus 로고    scopus 로고
    • Segmentation techniques for tissue differentiation in MRI of Ophthalmology using fuzzy clustering algorithms
    • M.S. Yang, Y.J. Hu, K.C.R. Lin, and C.C.L. Lin Segmentation techniques for tissue differentiation in MRI of Ophthalmology using fuzzy clustering algorithms Magn. Reson. Imaging 20 2002 173 179
    • (2002) Magn. Reson. Imaging , vol.20 , pp. 173-179
    • Yang, M.S.1    Hu, Y.J.2    Lin, K.C.R.3    Lin, C.C.L.4
  • 20
    • 0002376884 scopus 로고
    • A survey of fuzzy clustering
    • M.S. Yang A survey of fuzzy clustering Math. Comput. Model. 18 1993 1 16
    • (1993) Math. Comput. Model. , vol.18 , pp. 1-16
    • Yang, M.S.1
  • 23
    • 4444347719 scopus 로고    scopus 로고
    • A novel kernelized fuzzy c-means algorithm with application in medical image segmentation
    • D.Q. Zhang, and S.C. Chen A novel kernelized fuzzy c-means algorithm with application in medical image segmentation Artif. Intell. Med. 32 2004 37 50
    • (2004) Artif. Intell. Med. , vol.32 , pp. 37-50
    • Zhang, D.Q.1    Chen, S.C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.