메뉴 건너뛰기




Volumn 41, Issue 3, 2014, Pages 441-449

Fuzzy C-mean based brain MRI segmentation algorithms

Author keywords

Brain; FCM; MRI

Indexed keywords


EID: 84894475061     PISSN: 02692821     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10462-012-9318-2     Document Type: Article
Times cited : (59)

References (35)
  • 1
    • 0033871373 scopus 로고    scopus 로고
    • Scale space classification using area morphology
    • 10.1109/83.841939
    • Acton ST, Mukherjee DP (2000) Scale space classification using area morphology. IEEE Trans Image Process 9: 623-635
    • (2000) IEEE Trans Image Process , vol.9 , pp. 623-635
    • Acton, S.T.1    Mukherjee, D.P.2
  • 2
    • 0036489378 scopus 로고    scopus 로고
    • A modified fuzzy C-means algorithm for bias field estimation and segmentation of MRI data
    • 10.1109/42.996338
    • Ahmed MN, Yamany SM, Mohamed N, Farag AA, Moriarty T (2002) A modified fuzzy C-means algorithm for bias field estimation and segmentation of MRI data. IEEE Trans Med Imaging 21: 193-199
    • (2002) IEEE Trans Med Imaging , vol.21 , pp. 193-199
    • Ahmed, M.N.1    Yamany, S.M.2    Mohamed, N.3    Farag, A.A.4    Moriarty, T.5
  • 4
    • 81355150938 scopus 로고    scopus 로고
    • Spatial based Expectation Maximizing (EM)
    • Balafar MA (2011a) Spatial based Expectation Maximizing (EM). Diagn Pathol 6:103
    • (2011) Diagn Pathol , vol.6 , pp. 103
    • Ma, B.1
  • 5
    • 84876159802 scopus 로고    scopus 로고
    • New spatial based MRI image de-noising algorithm
    • doi: 10.1007/s10462-011-9268-0
    • Balafar MA (2011b) New spatial based MRI image de-noising algorithm. Artif Intell Rev doi: 10.1007/s10462-011-9268-0
    • (2011) Artif Intell Rev
    • Ma, B.1
  • 6
    • 79959339854 scopus 로고    scopus 로고
    • Brain Magnetic resonance image segmentation using novel improvement for expectation maximizing
    • Balafar MA, Ramli AR, Mashohor S (2011) Brain Magnetic resonance image segmentation using novel improvement for expectation maximizing. Neurosciences 16:242-247
    • (2011) Neurosciences , vol.16 , pp. 242-247
    • Ma, B.1    Ramli, A.R.2    Mashohor, S.3
  • 7
    • 77951550469 scopus 로고    scopus 로고
    • Improved fast fuzzy C-mean and its application in medical image segmentation
    • 10.1142/S0218126610006001
    • Balafar MA, Ramli AR, Saripan MI, Mashohor S, Mahmud R (2010) Improved fast fuzzy C-mean and its application in medical image segmentation. J Circ Syst Comput 19: 203-214
    • (2010) J Circ Syst Comput , vol.19 , pp. 203-214
    • Balafar, M.A.1    Ramli, A.R.2    Saripan, M.I.3    Mashohor, S.4    Mahmud, R.5
  • 8
    • 77956902267 scopus 로고    scopus 로고
    • A new method for MR grayscale inhomogeneity correction
    • 10.1007/s10462-010-9169-7
    • Balafar MA, Ramli AR, Mashohor S (2010) A new method for MR grayscale inhomogeneity correction. Artif Intell Rev Springer 34: 195-204
    • (2010) Artif Intell Rev Springer , vol.34 , pp. 195-204
    • Balafar, M.A.1    Ramli, A.R.2    Mashohor, S.3
  • 9
    • 77951565276 scopus 로고    scopus 로고
    • Medical image segmentation using fuzzy C-mean (FCM) and user specified data
    • 10.1142/S0218126610005913
    • Balafar MA, Ramli AR, Saripan MI, Mashohor S, Mahmud R (2010) Medical image segmentation using fuzzy C-mean (FCM) and user specified data. J Circ Syst Comput 19: 1-14
    • (2010) J Circ Syst Comput , vol.19 , pp. 1-14
    • Balafar, M.A.1    Ramli, A.R.2    Saripan, M.I.3    Mashohor, S.4    Mahmud, R.5
  • 14
    • 77952621669 scopus 로고    scopus 로고
    • Compare different spatial based fuzzy C-mean (FCM) extensions for MRI image segmentation
    • Balafar MA, Ramli AR, Mashohor S (2010) Compare different spatial based fuzzy C-mean (FCM) extensions for MRI image segmentation. Presented at ICCAE, pp 609-611
    • (2010) ICCAE , pp. 609-611
    • Ma, B.1    Ramli, A.R.2    Mashohor, S.3
  • 15
    • 79952365254 scopus 로고    scopus 로고
    • Edge-preserving clustering algorithms and their application for MRI image segmentation
    • Balafar MA, Ramli AR, Mashohor S (2010) Edge-preserving clustering algorithms and their application for MRI image segmentation. Presented at IMECS, pp 17-19
    • (2010) IMECS , pp. 17-19
    • Ma, B.1    Ramli, A.R.2    Mashohor, S.3
  • 16
    • 3543098627 scopus 로고    scopus 로고
    • Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure
    • 10.1109/TSMCB.2004.831165
    • Chen SC, Zhang DQ (2004) Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure. IEEE Trans Syst Man Cybernet B 34: 1907-1916
    • (2004) IEEE Trans Syst Man Cybernet B , vol.34 , pp. 1907-1916
    • Chen, S.C.1    Zhang, D.Q.2
  • 17
    • 31544461548 scopus 로고    scopus 로고
    • Fuzzy C-means clustering with spatial information for image segmentation
    • 10.1016/j.compmedimag.2005.10.001
    • Chuang K-S, Tzeng H-L, Chen S, Wu J, Chen T-J (2006) Fuzzy C-means clustering with spatial information for image segmentation. Comput Med Imaging Graph 30: 9-15
    • (2006) Comput Med Imaging Graph , vol.30 , pp. 9-15
    • Chuang, K.-S.1    Tzeng, H.-L.2    Chen, S.3    Wu, J.4    Chen, T.-J.5
  • 18
    • 33750512945 scopus 로고    scopus 로고
    • Fast and robust fuzzy C-means clustering algorithms incorporating local information for image segmentation
    • 10.1016/j.patcog.2006.07.011 1118.68133
    • Cai W, Chen S, Zhang D (2007) Fast and robust fuzzy C-means clustering algorithms incorporating local information for image segmentation. Pattern Recognit 40: 825-838
    • (2007) Pattern Recognit , vol.40 , pp. 825-838
    • Cai, W.1    Chen, S.2    Zhang, D.3
  • 19
    • 0000586827 scopus 로고
    • Characterization and detection of noise in clustering
    • 10.1016/0167-8655(91)90002-4
    • Dave RN (1991) Characterization and detection of noise in clustering. Pattern Recognit Lett 12: 657-664
    • (1991) Pattern Recognit Lett , vol.12 , pp. 657-664
    • Dave, R.N.1
  • 20
    • 0026925678 scopus 로고
    • A comparison of neural network and fuzzy clustering techniques insegmenting magnetic resonance images of the brain
    • 10.1109/72.159057
    • Hall LO, Bensaid AM, Clarke LP, Velthuizen RP, Silbiger MS, Bezdek JC (1992) A comparison of neural network and fuzzy clustering techniques insegmenting magnetic resonance images of the brain. IEEE Trans Neural Netw 3: 672-682
    • (1992) IEEE Trans Neural Netw , vol.3 , pp. 672-682
    • Hall, L.O.1    Bensaid, A.M.2    Clarke, L.P.3    Velthuizen, R.P.4    Silbiger, M.S.5    Bezdek, J.C.6
  • 22
    • 0027595430 scopus 로고
    • A possibilistic approach to clustering
    • 10.1109/91.227387
    • Krishnapuram R, Keller JM (1993) A possibilistic approach to clustering. IEEE Trans Fuzzy Syst 1: 98-110
    • (1993) IEEE Trans Fuzzy Syst , vol.1 , pp. 98-110
    • Krishnapuram, R.1    Keller, J.M.2
  • 23
    • 68349147767 scopus 로고    scopus 로고
    • A fully automated algorithm under modified FCM framework for improved brain MR image segmentation
    • 10.1016/j.mri.2009.01.024
    • Karan Sikka NS, Singh PK, Mishra AK (2009) A fully automated algorithm under modified FCM framework for improved brain MR image segmentation. Magn Reson Imaging 27: 994-1004
    • (2009) Magn Reson Imaging , vol.27 , pp. 994-1004
    • Karan Sikka, N.S.1    Singh, P.K.2    Mishra, A.K.3
  • 26
    • 0032843554 scopus 로고    scopus 로고
    • An adaptive fuzzy C-means algorithm for image segmentation in the presence of intensity inhomogeneities
    • 10.1016/S0167-8655(98)00121-4 0920.68148
    • Pham DL, Prince JL (1999) An adaptive fuzzy C-means algorithm for image segmentation in the presence of intensity inhomogeneities. Pattern Recognit Lett 20: 57-68
    • (1999) Pattern Recognit Lett , vol.20 , pp. 57-68
    • Pham, D.L.1    Prince, J.L.2
  • 28
    • 25844489923 scopus 로고    scopus 로고
    • MRI fuzzy segmentation of brain tissue using neighborhood attraction with neural-network optimization
    • 10.1109/TITB.2005.847500
    • Shen S, Sandham W, Granat M, Sterr A (2005) MRI fuzzy segmentation of brain tissue using neighborhood attraction with neural-network optimization. IEEE Trans Inf Technol Biomed 9: 459-467
    • (2005) IEEE Trans Inf Technol Biomed , vol.9 , pp. 459-467
    • Shen, S.1    Sandham, W.2    Granat, M.3    Sterr, A.4
  • 29
    • 1542272476 scopus 로고    scopus 로고
    • MR brain image segmentation using an enhanced fuzzy C-means algorithm
    • Szilágyi L, Benyó Z, Szilágyii SM, Adam HS (2003) MR brain image segmentation using an enhanced fuzzy C-means algorithm. Presented at 25th annual international conference of IEEE EMBS, pp 17-21
    • (2003) 25th Annual International Conference of IEEE EMBS , pp. 17-21
    • Szilágyi L, B.1
  • 30
    • 0032187761 scopus 로고    scopus 로고
    • On applying spatial constraints in fuzzy image clustering using afuzzy rule-based system
    • 10.1109/97.720555
    • Tolias YA, Panas SM (1998) On applying spatial constraints in fuzzy image clustering using afuzzy rule-based system. IEEE Signal Process Lett 5: 245-247
    • (1998) IEEE Signal Process Lett , vol.5 , pp. 245-247
    • Tolias, Y.A.1    Panas, S.M.2
  • 31
    • 0032070619 scopus 로고    scopus 로고
    • Image segmentation by a fuzzy clustering algorithm using adaptive spatially constrained membership functions
    • 10.1109/3468.668967
    • Tolias YA, Panas SM (1998) Image segmentation by a fuzzy clustering algorithm using adaptive spatially constrained membership functions. IEEE Trans Syst Man Cybernet A 28: 359-369
    • (1998) IEEE Trans Syst Man Cybernet A , vol.28 , pp. 359-369
    • Tolias, Y.A.1    Panas, S.M.2
  • 32
    • 55649121609 scopus 로고    scopus 로고
    • A modified FCM algorithm for MRI brain image segmentation using both local and non-local spatial constraints
    • doi: 10.1016/j.compmedimag.2008.08.004
    • Wang J, Kong J, Lub Y, Qi M, Zhang B (2008) A modified FCM algorithm for MRI brain image segmentation using both local and non-local spatial constraints. Computerized medical imaging and graphics. doi: 10.1016/j.compmedimag.2008.08. 004
    • (2008) Computerized Medical Imaging and Graphics
    • Wang, J.1    Kong, J.2    Lub, Y.3    Qi, M.4    Zhang, B.5
  • 33
    • 43149092856 scopus 로고    scopus 로고
    • A novel fuzzy C-means clustering algorithm for image thresholding
    • Yong Y, Chongxun Z, Pan L (2004) A novel fuzzy C-means clustering algorithm for image thresholding. Meas Sci Rev 4: 11-19
    • (2004) Meas Sci Rev , vol.4 , pp. 11-19
    • Yong, Y.1    Chongxun, Z.2    Pan, L.3
  • 34
    • 4444347719 scopus 로고    scopus 로고
    • A novel kernelized fuzzy C-means algorithm with application in medical image segmentation
    • 10.1016/j.artmed.2004.01.012
    • Zhang DQ, Chen SC (2004) A novel kernelized fuzzy C-means algorithm with application in medical image segmentation. Artif Intell Med 32: 37-50
    • (2004) Artif Intell Med , vol.32 , pp. 37-50
    • Zhang, D.Q.1    Chen, S.C.2
  • 35
    • 57049095869 scopus 로고    scopus 로고
    • An new initialization method for fuzzy C-means algorithm
    • 10.1007/s10700-008-9048-8 1168.68540 2461182
    • Zou K, Wang Z, Hu M (2008) An new initialization method for fuzzy C-means algorithm. Fuzzy Opt Decis Making 7: 409-416
    • (2008) Fuzzy Opt Decis Making , vol.7 , pp. 409-416
    • Zou, K.1    Wang, Z.2    Hu, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.