메뉴 건너뛰기




Volumn 24, Issue 1, 2014, Pages 72-82

Brain tumor severity analysis using modified multi-texton histogram and hybrid kernel svm

Author keywords

classification; feature extraction; kernel; modified multi texton histogram; MRI; segmentation; support vector machine; tumor

Indexed keywords


EID: 84894139219     PISSN: 08999457     EISSN: 10981098     Source Type: Journal    
DOI: 10.1002/ima.22081     Document Type: Article
Times cited : (18)

References (32)
  • 1
    • 36249011674 scopus 로고    scopus 로고
    • Segmentation of multiple sclerosis lesions from MR brain images using the principles of fuzzy-connectedness and artificial neuron networks
    • Barcelona, Spain
    • F. Admasua, S.A. Zubia, K. Toenniesa, N. Bodammerb, and, H. Hinrichsb, Segmentation of multiple sclerosis lesions from MR brain images using the principles of fuzzy-connectedness and artificial neuron networks, Proceedings of International Conference on Image Processing, Barcelona, Spain, Vol. 3, 2003.
    • (2003) Proceedings of International Conference on Image Processing , vol.3
    • Admasua, F.1    Zubia, S.A.2    Toenniesa, K.3    Bodammerb, N.4    Hinrichsb, H.5
  • 2
    • 79952476875 scopus 로고    scopus 로고
    • Efficacy of texture, shape, and intensity feature fusion for posterior-fossa tumor segmentation in MRI
    • S. Ahmed, K.M. Iftekharuddin, A. Vossough, Efficacy of texture, shape, and intensity feature fusion for posterior-fossa tumor segmentation in MRI, IEEE Trans Inf Technol Biomed 15 (2011), 206-213.
    • (2011) IEEE Trans Inf Technol Biomed , vol.15 , pp. 206-213
    • Ahmed, S.1    Iftekharuddin, K.M.2    Vossough, A.3
  • 3
    • 84875993482 scopus 로고    scopus 로고
    • A multichannel Markov random field framework for tumor segmentation with an application to classification of gene expression-based breast cancer recurrence risk
    • A.B. Ashraf, S.C. Gavenonis, D. Daye, C. Mies, M.A. Rosen, and, D. Kontos, A multichannel Markov random field framework for tumor segmentation with an application to classification of gene expression-based breast cancer recurrence risk, IEEE Trans Med Imaging 32 (2013).
    • (2013) IEEE Trans Med Imaging , vol.32
    • Ashraf, A.B.1    Gavenonis, S.C.2    Daye, D.3    Mies, C.4    Rosen, M.A.5    Kontos, D.6
  • 4
    • 82255181699 scopus 로고    scopus 로고
    • Fully automatic segmentation of brain tumor images using support vector machine classification in combination with hierarchical conditional random field regularization
    • LP. Nolte, M. Reyes
    • S. Bauer, LP. Nolte, M. Reyes, Fully automatic segmentation of brain tumor images using support vector machine classification in combination with hierarchical conditional random field regularization, MICCAI, 2011, pp. 354-361.
    • (2011) MICCAI , pp. 354-361
    • Bauer, S.1
  • 6
    • 80052892041 scopus 로고    scopus 로고
    • A multiple-kernel fuzzy c-means algorithm for image segmentation
    • L. Chen, C.L.P. Chen, and, M. Lu, A multiple-kernel fuzzy c-means algorithm for image segmentation, IEEE Trans Syst Man Cybern Part B: Cybern 41 (2011), 1263-1274.
    • (2011) IEEE Trans Syst Man Cybern Part B: Cybern , vol.41 , pp. 1263-1274
    • Chen, L.1    Chen, C.L.P.2    Lu, M.3
  • 9
    • 84894204523 scopus 로고    scopus 로고
    • A novel approach for feature extraction and selection on MRI images for brain tumor classification
    • V.P. Gladis, P. Rathi, and, S. Palani, A novel approach for feature extraction and selection on MRI images for brain tumor classification, Int Conf Comput Sci Inf Technol 5 (2012), 225-234.
    • (2012) Int Conf Comput Sci Inf Technol , vol.5 , pp. 225-234
    • Gladis, V.P.1    Rathi, P.2    Palani, S.3
  • 10
    • 84945533209 scopus 로고    scopus 로고
    • The skull stripping problem in MRI solved by a single 3D watershed transform, Lecture notes in computer science
    • H.K. Hahn, and, H.O. Peitgen, The skull stripping problem in MRI solved by a single 3D watershed transform, Lecture notes in computer science, Medical image computing and computer-assisted intervention (MICCAI), Vol. 1935/2000, 2000, pp. 134-143.
    • (2000) Medical Image Computing and Computer-assisted Intervention (MICCAI) , vol.1935 , pp. 134-143
    • Hahn, H.K.1    Peitgen, H.O.2
  • 11
    • 84880115838 scopus 로고    scopus 로고
    • Segmentation of tissues in brain MRI images using dynamic neuro-fuzzy technique
    • S.J. Hussain, T. S. Savithri, and, P.V. Sree Devi, Segmentation of tissues in brain MRI images using dynamic neuro-fuzzy technique, Int J Soft Comput Eng 1 (2012), 2231-2307.
    • (2012) Int J Soft Comput Eng , vol.1 , pp. 2231-2307
    • Hussain, S.J.1    Savithri, T.S.2    Sree Devi, P.V.3
  • 12
    • 84886669247 scopus 로고    scopus 로고
    • Multifractal texture estimation for detection and segmentation of brain tumours
    • A. Islam, S.M.S. Reza, and, K.M. Iftekharuddin, Multifractal texture estimation for detection and segmentation of brain tumours, IEEE Trans Biomed Eng 60 (2013), 3204-3215.
    • (2013) IEEE Trans Biomed Eng , vol.60 , pp. 3204-3215
    • Islam, A.1    Reza, S.M.S.2    Iftekharuddin, K.M.3
  • 14
    • 84881641304 scopus 로고    scopus 로고
    • Feature extraction and texture classification in MRI
    • J. Joshi, and, A.C. Phadke, Feature extraction and texture classification in MRI, Proc Int Conf Comput Technol 2 (2010), 130-136.
    • (2010) Proc Int Conf Comput Technol , vol.2 , pp. 130-136
    • Joshi, J.1    Phadke, A.C.2
  • 15
    • 77952407905 scopus 로고    scopus 로고
    • Texture analysis: A review of neurologic MR imaging applications
    • A. Kassner, and, R.E. Thornhilla, Texture analysis: A review of neurologic MR imaging applications, AJNR 31 (2010), 809-816.
    • (2010) AJNR , vol.31 , pp. 809-816
    • Kassner, A.1    Thornhilla, R.E.2
  • 18
    • 84879847374 scopus 로고    scopus 로고
    • MRI brain image segmentation based on wavelet and FCM algorithm
    • I. Khalifa, A. Youssif, and, H. Youssry, MRI brain image segmentation based on wavelet and FCM algorithm, Int J Comput Appl 47 (2012), 32-39.
    • (2012) Int J Comput Appl , vol.47 , pp. 32-39
    • Khalifa, I.1    Youssif, A.2    Youssry, H.3
  • 19
    • 62949196900 scopus 로고    scopus 로고
    • 3D brain tumor segmentation in MRI using fuzzy classification, symmetry analysis and spatially constrained deformable models
    • H. Khotanlou, O. Colliot, J. Atif, and, I. Bloch, 3D brain tumor segmentation in MRI using fuzzy classification, symmetry analysis and spatially constrained deformable models, Fuzzy Sets Syst 160 (2009), 1457-1473.
    • (2009) Fuzzy Sets Syst , vol.160 , pp. 1457-1473
    • Khotanlou, H.1    Colliot, O.2    Atif, J.3    Bloch, I.4
  • 20
    • 84884545326 scopus 로고    scopus 로고
    • A likelihood and local constraint level set model for liver tumor segmentation from CT volumes
    • C. Li, X. Wang, S. Eberl, M. Fulham, Y. Yin, J. Chen, and, D.D. Feng, A likelihood and local constraint level set model for liver tumor segmentation from CT volumes, IEEE Trans Biomed Eng 60 (2013).
    • (2013) IEEE Trans Biomed Eng , vol.60
    • Li, C.1    Wang, X.2    Eberl, S.3    Fulham, M.4    Yin, Y.5    Chen, J.6    Feng, D.D.7
  • 21
    • 77949489449 scopus 로고    scopus 로고
    • Image retrieval based on multi-texton histogram
    • G. Liu, L. Zhang, Y. Hou, Z. Li, and, J. Yang, Image retrieval based on multi-texton histogram, Pattern Recogn 43 (2010), 2380-2389.
    • (2010) Pattern Recogn , vol.43 , pp. 2380-2389
    • Liu, G.1    Zhang, L.2    Hou, Y.3    Li, Z.4    Yang, J.5
  • 23
    • 84880247477 scopus 로고    scopus 로고
    • Computer-aided tumor detection based on multi-scale blob detection algorithm in automated breast ultrasound images
    • W.K. Moon, Y.-W. Shen, M.S. Bae, C.-S. Huang, J.-H. Chen, and, R.-F. Chang, Computer-aided tumor detection based on multi-scale blob detection algorithm in automated breast ultrasound images, IEEE Trans Med Imaging 32 (2013).
    • (2013) IEEE Trans Med Imaging , vol.32
    • Moon, W.K.1    Shen, Y.-W.2    Bae, M.S.3    Huang, C.-S.4    Chen, J.-H.5    Chang, R.-F.6
  • 24
    • 79957619880 scopus 로고    scopus 로고
    • Development of a composite feature vector for the detection of pathological and healthy tissues in FLAIR MR images of brain
    • N. Pradhan, and, A.K. Sinha, Development of a composite feature vector for the detection of pathological and healthy tissues in FLAIR MR images of brain, J ICGST-BIME 10 (2010), 1-11.
    • (2010) J ICGST-BIME , vol.10 , pp. 1-11
    • Pradhan, N.1    Sinha, A.K.2
  • 25
    • 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, Int J Inf Commun Technol Res 2 (2012), 2223-4985.
    • (2012) Int J Inf Commun Technol Res , vol.2 , pp. 2223-4985
    • Roy, S.1    Bandyopadhyay, S.K.2
  • 26
    • 25844489923 scopus 로고    scopus 로고
    • MRI fuzzy segmentation of brain tissue using neighborhood attraction with neural-network optimization
    • S. Shen, W. Sandham, M. Granat, and, A. Sterr, MRI fuzzy segmentation of brain tissue using neighborhood attraction with neural-network optimization, IEEE Trans Inf Technol Biomed 9 (2005), 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
    • 84894127501 scopus 로고    scopus 로고
    • A hybrid approach for DICOM image segmentation using fuzzy techniques
    • J. Umamaheswari, and, G. Radhamani, A hybrid approach for DICOM image segmentation using fuzzy techniques, Int J Fuzzy Logic Syst 2 (2012), 2012-2305.
    • (2012) Int J Fuzzy Logic Syst , vol.2 , pp. 2012-2305
    • Umamaheswari, J.1    Radhamani, G.2
  • 32
    • 84863085276 scopus 로고    scopus 로고
    • Sensitivity, specificity, accuracy, associated confidence interval and ROC analysis with practical SAS implementations
    • Baltimore, MD
    • W. Zhu, N. Zeng, and, N. Wang, Sensitivity, specificity, accuracy, associated confidence interval and ROC analysis with practical SAS implementations, Proceedings of the SAS Conference, Baltimore, MD, 2010, pp. 9.
    • (2010) Proceedings of the SAS Conference , pp. 9
    • Zhu, W.1    Zeng, N.2    Wang, N.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.