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Volumn 37, Issue 7, 2010, Pages 4955-4965

Mix-ratio sampling: Classifying multiclass imbalanced mouse brain images using support vector machine

Author keywords

Brain image segmentation; Data mining; Imbalanced dataset; Multiclass classification; Sampling procedure; Support vector machine

Indexed keywords

BRAIN IMAGES; IMBALANCED DATASET; MULTI-CLASS CLASSIFICATION; SAMPLING PROCEDURE; SAMPLING PROCEDURES; SEGMENTATION DATA;

EID: 77950187695     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2009.12.018     Document Type: Article
Times cited : (29)

References (27)
  • 3
    • 23144451082 scopus 로고    scopus 로고
    • Automated segmentation of neuroanatomical structures in multispectral MR microscopy of the mouse brain
    • Ali A.A., Dale A.M., Badea A., and Johnson G.A. Automated segmentation of neuroanatomical structures in multispectral MR microscopy of the mouse brain. NeuroImage 27 2 (2005) 425-435
    • (2005) NeuroImage , vol.27 , Issue.2 , pp. 425-435
    • Ali, A.A.1    Dale, A.M.2    Badea, A.3    Johnson, G.A.4
  • 6
    • 33745255698 scopus 로고    scopus 로고
    • Classification of magnetic resonance brain images using wavelets as input to support vector machine and neural network
    • Chaplot S., Patnaik L.M., and Jagannathan N.R. Classification of magnetic resonance brain images using wavelets as input to support vector machine and neural network. Biomedical Signal Processing and Control 1 (2006) 86-92
    • (2006) Biomedical Signal Processing and Control , vol.1 , pp. 86-92
    • Chaplot, S.1    Patnaik, L.M.2    Jagannathan, N.R.3
  • 9
    • 18244406829 scopus 로고    scopus 로고
    • Whole brain segmentation: Automated labeling of neuroanatomical structures in the human brain
    • Fischl B., Salat D.H., Busa E., Albert M., Dieterich M., Haselgrove C., et al. Whole brain segmentation: Automated labeling of neuroanatomical structures in the human brain. Neuron 33 (2002) 341-355
    • (2002) Neuron , vol.33 , pp. 341-355
    • Fischl, B.1    Salat, D.H.2    Busa, E.3    Albert, M.4    Dieterich, M.5    Haselgrove, C.6
  • 10
    • 0033201367 scopus 로고    scopus 로고
    • Automatic 3D segmentation of internal structures of the head in MR images using a combination of similarity and free-form transformations: Part I, validation on severely atrophied brains
    • Hartmann S.L., Parks M.H., Martin P.R., and Dawant B.M. Automatic 3D segmentation of internal structures of the head in MR images using a combination of similarity and free-form transformations: Part I, validation on severely atrophied brains. IEEE Transactions on Medical Imaging 18 (1999) 917-926
    • (1999) IEEE Transactions on Medical Imaging , vol.18 , pp. 917-926
    • Hartmann, S.L.1    Parks, M.H.2    Martin, P.R.3    Dawant, B.M.4
  • 11
    • 33748784605 scopus 로고    scopus 로고
    • Automatic anatomical brain MRI segmentation combining label propagation and decision fusion
    • Heckemann R.A., Hajnal J.V., Aljabar P., Rueckert D., and Hammers A. Automatic anatomical brain MRI segmentation combining label propagation and decision fusion. NeuroImage 33 (2006) 115-126
    • (2006) NeuroImage , vol.33 , pp. 115-126
    • Heckemann, R.A.1    Hajnal, J.V.2    Aljabar, P.3    Rueckert, D.4    Hammers, A.5
  • 12
    • 0036505670 scopus 로고    scopus 로고
    • A comparison of methods for multi-class support vector machines
    • Hsu C.W., and Lin C.J. A comparison of methods for multi-class support vector machines. IEEE Transactions on Neural Networks 13 (2002) 415-425
    • (2002) IEEE Transactions on Neural Networks , vol.13 , pp. 415-425
    • Hsu, C.W.1    Lin, C.J.2
  • 15
  • 17
    • 34249295615 scopus 로고    scopus 로고
    • A combined MRI and MRSI based multiclass system for brain tumour recognition using LS-SVMs with class probabilities and feature selection
    • Luts J., Heerschap A., Suykens J.A.K., and Huffel S.V. A combined MRI and MRSI based multiclass system for brain tumour recognition using LS-SVMs with class probabilities and feature selection. Artificial Intelligence in Medicine 40 (2007) 87-102
    • (2007) Artificial Intelligence in Medicine , vol.40 , pp. 87-102
    • Luts, J.1    Heerschap, A.2    Suykens, J.A.K.3    Huffel, S.V.4
  • 18
    • 0033005627 scopus 로고    scopus 로고
    • Measurement of brain structures with artificial neural networks: Two- and three-dimensional applications
    • Magnotta V.A., Heckel D., Andreasen N.C., Cizadlo T., Corson P.W., Ehrhardt J.C., et al. Measurement of brain structures with artificial neural networks: Two- and three-dimensional applications. Radiology 211 3 (1999) 781-790
    • (1999) Radiology , vol.211 , Issue.3 , pp. 781-790
    • Magnotta, V.A.1    Heckel, D.2    Andreasen, N.C.3    Cizadlo, T.4    Corson, P.W.5    Ehrhardt, J.C.6
  • 19
    • 28244492778 scopus 로고    scopus 로고
    • Classifying brain states and determining the discriminating activation patterns: Support vector machine on functional MRI data
    • Mourao-Miranda J., Bokde A.L.W., Born C., Hampel H., and Stetter M. Classifying brain states and determining the discriminating activation patterns: Support vector machine on functional MRI data. NeuroImage 28 (2005) 980-995
    • (2005) NeuroImage , vol.28 , pp. 980-995
    • Mourao-Miranda, J.1    Bokde, A.L.W.2    Born, C.3    Hampel, H.4    Stetter, M.5
  • 21
    • 36048967893 scopus 로고    scopus 로고
    • Registration and machine learning-based automated segmentation of subcortical and cerebellar brain structures
    • Powell S., Magnotta V.A., Johnson H., Jammalamadaka V.K., Pierson R., and Andreasen N.C. Registration and machine learning-based automated segmentation of subcortical and cerebellar brain structures. NeuroImage 39 (2008) 238-247
    • (2008) NeuroImage , vol.39 , pp. 238-247
    • Powell, S.1    Magnotta, V.A.2    Johnson, H.3    Jammalamadaka, V.K.4    Pierson, R.5    Andreasen, N.C.6
  • 22
    • 0031283432 scopus 로고    scopus 로고
    • Automated segmentation and classification of multispectral magnetic resonance images of brain using artificial neural networks
    • Reddick W.E., Glass J.O., Cook E.N., Elkin T.D., and Deaton R.J. Automated segmentation and classification of multispectral magnetic resonance images of brain using artificial neural networks. IEEE Transactions on Medical Imaging 16 (1997) 6, 911-91
    • (1997) IEEE Transactions on Medical Imaging , vol.16
    • Reddick, W.E.1    Glass, J.O.2    Cook, E.N.3    Elkin, T.D.4    Deaton, R.J.5
  • 23
    • 36049017075 scopus 로고    scopus 로고
    • Automated segmentation of the actively stained mouse brain using multi-spectral MR microscopy
    • Sharief A.A., Badea A., Dale A.M., and Johnson G.A. Automated segmentation of the actively stained mouse brain using multi-spectral MR microscopy. NeuroImage 39 (2008) 136-145
    • (2008) NeuroImage , vol.39 , pp. 136-145
    • Sharief, A.A.1    Badea, A.2    Dale, A.M.3    Johnson, G.A.4
  • 24
    • 33144459635 scopus 로고    scopus 로고
    • Response modeling with support vector machines
    • Shin H., and Cho S. Response modeling with support vector machines. Expert Systems with Applications 30 (2006) 746-760
    • (2006) Expert Systems with Applications , vol.30 , pp. 746-760
    • Shin, H.1    Cho, S.2
  • 25
    • 0030215025 scopus 로고    scopus 로고
    • A surface-based technique for warping 3-dimensional images of the brain
    • Thompson P.M., and Toga A.W. A surface-based technique for warping 3-dimensional images of the brain. IEEE Transactions on Medical Imaging 15 (1996) 1-16
    • (1996) IEEE Transactions on Medical Imaging , vol.15 , pp. 1-16
    • Thompson, P.M.1    Toga, A.W.2
  • 27
    • 20844441675 scopus 로고    scopus 로고
    • KBA: Kernel boundary alignment considering imbalanced data distribution
    • Wu G., and Chang E.Y. KBA: Kernel boundary alignment considering imbalanced data distribution. IEEE Transactions on Knowledge and Data Engineering 17 6 (2005) 786-795
    • (2005) IEEE Transactions on Knowledge and Data Engineering , vol.17 , Issue.6 , pp. 786-795
    • Wu, G.1    Chang, E.Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.