메뉴 건너뛰기




Volumn 57, Issue 1, 2013, Pages

Brain tumor detection using fuzzy support vector machine classification based on a texton co-occurrence matrix

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION SYSTEM; DISEASE BURDENS; FUZZY SUPPORT VECTOR MACHINES; RADIAL BASIS FUNCTIONS; STRUCTURAL STUDIES; TEXTON CO-OCCURRENCE MATRIX; TREATMENT MONITORING; TUMOR DETECTION;

EID: 84880404420     PISSN: 10623701     EISSN: 19433522     Source Type: Journal    
DOI: 10.2352/J.ImagingSci.Technol.2013.57.1.010507     Document Type: Article
Times cited : (26)

References (26)
  • 1
    • 0035067081 scopus 로고    scopus 로고
    • Imaging of low- and intermediate-grade gliomas
    • P. E. Ricci and D. H. Dungan, 'Imaging of low- and intermediate grade gliomas,' Semin. Radiation Oncology 11, 103-112 (2001). (Pubitemid 32275218)
    • (2001) Seminars in Radiation Oncology , vol.11 , Issue.2 , pp. 103-112
    • Ricci, P.E.1    Dungan, D.H.2
  • 2
    • 25844489923 scopus 로고    scopus 로고
    • MRI fuzzy segmentation of brain tissue using neighborhood attraction with neural-network opti- mization
    • S. Shen, W. Sandham, M. Granat, and A. Starr, 'MRI fuzzy segmentation of brain tissue using neighborhood attraction with neural-network opti- mization,' IEEE Trans. Inform. Technol. Biomed. 9, 3 (2005).
    • (2005) IEEE Trans. Inform. Technol. Biomed. , vol.9 , pp. 3
    • Shen, S.1    Sandham, W.2    Granat, M.3    Starr, A.4
  • 4
    • 0030218261 scopus 로고    scopus 로고
    • Segmentation of multispectral magnetic resonance image using penalized fuzzy competitive learning network
    • DOI 10.1006/cbmr.1996.0023
    • 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, 314-326 (1996). (Pubitemid 26301914)
    • (1996) Computers and Biomedical Research , vol.29 , Issue.4 , pp. 314-326
    • Lin, J.-S.1    Cheng, K.-S.2    Mao, C.-W.3
  • 5
    • 84867191325 scopus 로고    scopus 로고
    • Diagnostic ultrasound image en- hancement: A multiscale permutation approach
    • S. Kalaivani and R.S.D. Wahidabanu, 'Diagnostic ultrasound image en- hancement: a multiscale permutation approach,' J. Imaging Sci. Technol. 56, 010501 (2012).
    • (2012) J. Imaging Sci. Technol. , vol.56 , pp. 010501
    • Kalaivani, S.1    Wahidabanu, R.S.D.2
  • 6
    • 84880587291 scopus 로고    scopus 로고
    • Detection and quantification of brain tumor from MRI of brain and it's symmetric analysis
    • S. Roy and S. K. Bandyopadhyay, 'Detection and quantification of brain tumor from MRI of brain and it's symmetric analysis,' Intl J. Inform. Commun. Technol. Res. 2, 2223-4985 (2012).
    • (2012) Intl J. Inform. Commun. Technol. Res. , vol.2 , pp. 2223-4985
    • Roy, S.1    Bandyopadhyay, S.K.2
  • 7
    • 84880421452 scopus 로고    scopus 로고
    • Segmentation of multiple sclerosis lesions in brain MR images using spatially constrained possibilistic fuzzy c-means classification
    • H. Khotanlou and M. Afrasiabi, 'Segmentation of multiple sclerosis lesions in brain MR images using spatially constrained possibilistic fuzzy c-means classification,' J. Med. Signals Sensors 1, 149-155 (2011).
    • (2011) J. Med. Signals Sensors , vol.1 , pp. 149-155
    • Khotanlou, H.1    Afrasiabi, M.2
  • 8
    • 0036161259 scopus 로고    scopus 로고
    • Gene selection for cancer classification using support vector machines
    • DOI 10.1023/A:1012487302797
    • I. Guyon, J. Weston, S. Barnhill, and V. Vapnik, 'Gene selection for cancer classification using support vector machines,' Mach. Learn. 46, 389-422 (2002). (Pubitemid 34129977)
    • (2002) Machine Learning , vol.46 , Issue.1-3 , pp. 389-422
    • Guyon, I.1    Weston, J.2    Barnhill, S.3    Vapnik, V.4
  • 9
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • C. J. C. Burges, 'A tutorial on support vector machines for pattern recognition,' Data Min. Knowl. Discov. 2, 121-167 (1998). (Pubitemid 128695475)
    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.2 , pp. 121-167
    • Burges, C.J.C.1
  • 10
    • 70449445893 scopus 로고    scopus 로고
    • Application of support vector machines on network abnormal intrusion detection
    • K. Zhang, H. X. Cao, and H. Yan, 'Application of support vector machines on network abnormal intrusion detection,' Appl. Res. Comput. 5, 98-100 (2006).
    • (2006) Appl. Res. Comput. , vol.5 , pp. 98-100
    • Zhang, K.1    Cao, H.X.2    Yan, H.3
  • 11
    • 84867210070 scopus 로고    scopus 로고
    • Defining semantic structure features for content-based visual object class recognition
    • N. Ahmad and J. Park, 'Defining semantic structure features for content-based visual object class recognition,' J. Imaging Sci. Technol. 55, 020509 (2011).
    • (2011) J. Imaging Sci. Technol. , vol.55 , pp. 020509
    • Ahmad, N.1    Park, J.2
  • 15
    • 84945533209 scopus 로고
    • The Skull stripping problem in MRI solved by a single 3D watershed transform
    • Springer, Berlin
    • H. K. Hahn andHeinz-Otto, 'The Skull stripping problem in MRI solved by a single 3D watershed transform,' Proc. MICCAI, LNCS 1935 (Springer, Berlin, 2000) pp. 134-143.
    • (1935) Proc. MICCAI, LNCS , vol.2000 , pp. 134-143
    • Hahn, H.K.1    Heinz-Otto2
  • 16
    • 0019522390 scopus 로고
    • Textons, the elements of texture perception, and their interactions
    • DOI 10.1038/290091a0
    • B. Julesz, 'Textons, the elements of texture perception, and their interac- tions,' Nature 290, 91-97 (1981). (Pubitemid 11149681)
    • (1981) Nature , vol.290 , Issue.5802 , pp. 91-97
    • Julesz, B.1
  • 18
    • 22344440204 scopus 로고    scopus 로고
    • Fuzzy support vector machine for pattern recognition and data mining
    • H.-P. Huang and Y.-H. Liu, 'Fuzzy support vector machine for Pattern Recognition and Data mining,' Intl. J. Fuzzy Syst. 4, 826-835 (2002).
    • (2002) Intl. J. Fuzzy Syst. , vol.4 , pp. 826-835
    • Huang, H.-P.1    Liu, Y.-H.2
  • 19
    • 79955753380 scopus 로고    scopus 로고
    • An identification method of malignant and benign liver tumors from ultrasonography based on GLCM texture features and fuzzy SVM
    • G.-m. Xian, 'An identification method of malignant and benign liver tumors from ultrasonography based on GLCM texture features and fuzzy SVM,' Expert Syst. Appl. 37, 6737-6741 (2010).
    • (2010) Expert Syst. Appl. , vol.37 , pp. 6737-6741
    • Xian, G.-M.1
  • 21
    • 18044391075 scopus 로고    scopus 로고
    • Support vector machines sonogra- phy. Application to decision making in the diagnosis of breast cancer
    • Y. L. Huang and D. R. Chen, 'Support vector machines in sonogra- phy. Application to decision making in the diagnosis of breast cancer,' J. Clinical Imaging 29, 179-184 (2005).
    • (2005) J. Clinical Imaging , vol.29 , pp. 179-184
    • Huang, Y.L.1    Chen, D.R.2
  • 22
    • 84863085276 scopus 로고    scopus 로고
    • Sensitivity, specificity, accuracy, associ- ated confidence interval and ROC analysis with practical SAS implemen- tations
    • Baltimore, Maryland
    • W. Zhu, N. Zeng, and N. Wang, 'Sensitivity, specificity, accuracy, associ- ated confidence interval and ROC analysis with practical SAS implemen- tations,' Proc. SAS Conf. (Baltimore, Maryland, 2010) p. 9.
    • (2010) Proc. SAS Conf. , pp. 9
    • Zhu, W.1    Zeng, N.2    Wang, N.3
  • 23
    • 0028724624 scopus 로고
    • Morphometric analysis of white matter lesions in MR images: Method and validation
    • A. P. Zijdenbos, B. M. Dawant, R. A. Margolin, and A. C. Palmer, 'Morphometric analysis of white matter lesions in MR images: method and validation,' IEEE Trans. MED. Imaging 13, 716-724 (1994).
    • (1994) IEEE Trans. MED. Imaging , vol.13 , pp. 716-724
    • Zijdenbos, A.P.1    Dawant, B.M.2    Margolin, R.A.3    Palmer, A.C.4
  • 24
    • 0033646213 scopus 로고    scopus 로고
    • Automatic morphology- based brain segmentation (MBRASE) from mri-t1 data
    • R. Stocking, K. L. Vincken, and M. A. Viergever, 'Automatic morphology- based brain segmentation (MBRASE) from MRI-T1 data,' Neuroimage 12, 726-738 (2000).
    • (2000) Neuroimage , vol.12 , pp. 726-738
    • Stocking, R.1    Vincken, K.L.2    Viergever, M.A.3
  • 25
    • 0026045948 scopus 로고
    • Measurement and reliability: Statistical thinking considera- tions
    • J. J. Bartok, 'Measurement and reliability: statistical thinking considera- tions,' Schizophrenia Bull 17, 483-489 (1991).
    • (1991) Schizophrenia Bull , vol.17 , pp. 483-489
    • Bartok, J.J.1
  • 26
    • 39549119121 scopus 로고    scopus 로고
    • Fully automatic segmentation of multiple sclerosis lesions in brain mr flair images using an adaptive mixtures method and markov random field model
    • R. Khayati, M. Vafadust, F. Towhidkhah, and M. Nabavi, 'Fully automatic segmentation of multiple sclerosis lesions in brain MR FLAIR images using an adaptive mixtures method and Markov random field model,' Comput. Biol. MED 38, 379-390 (2008).
    • (2008) Comput. Biol. MED , vol.38 , pp. 379-390
    • Khayati, R.1    Vafadust, M.2    Towhidkhah, F.3    Nabavi, M.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.