메뉴 건너뛰기




Volumn 11, Issue 5, 2016, Pages 777-788

Within-brain classification for brain tumor segmentation

Author keywords

Brain tumor segmentation; Computer aided detection; Interactive; Machine learning; Segmentation; Within brain generalization

Indexed keywords

ACCURACY; AUTOMATIC METHOD; BRAIN TUMOR; CLASSIFICATION ALGORITHM; CLASSIFIER; CONDITIONAL RANDOM FIELD; DECISION TREE; DISCRIMINANT ANALYSIS; EVALUATION STUDY; HUMAN; HYPERPARAMETER; IMAGE PROCESSING; KAPPA NEAREST NEIGHBORS; KERNEL METHOD; MACHINE LEARNING; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; PROCEDURES; RANDOM FOREST; REVIEW; SEMIAUTOMATIC METHOD; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE; WITHIN BRAIN GENERALIZATION; ALGORITHM; BRAIN; DIAGNOSTIC IMAGING;

EID: 84946120776     PISSN: 18616410     EISSN: 18616429     Source Type: Journal    
DOI: 10.1007/s11548-015-1311-1     Document Type: Review
Times cited : (66)

References (20)
  • 1
    • 82255181699 scopus 로고    scopus 로고
    • Reyes M (2011) Fully automatic segmentation of brain tumor images using support vector machine classification in combination with hierarchical conditional random field regularization
    • Springer, Berlin
    • Bauer S, Nolte L, Reyes M (2011) Fully automatic segmentation of brain tumor images using support vector machine classification in combination with hierarchical conditional random field regularization. In: Medical image computing and computer-assisted intervention. Springer, Berlin, pp 354–361
    • Medical image computing and computer-assisted intervention , pp. 354-361
    • Bauer, S.1    Nolte, L.2
  • 2
    • 84879513272 scopus 로고    scopus 로고
    • A survey of MRI-based medical image analysis for brain tumor studies
    • PID: 23743802
    • Bauer S, Wiest R, Nolte L, Reyes M (2013) A survey of MRI-based medical image analysis for brain tumor studies. Phys Med Biol 58(13):R97
    • (2013) Phys Med Biol , vol.58 , Issue.13 , pp. R97
    • Bauer, S.1    Wiest, R.2    Nolte, L.3    Reyes, M.4
  • 3
    • 36349004706 scopus 로고    scopus 로고
    • Probabilistic segmentation of brain tumors based on multi-modality magnetic resonance images. In: Biomedical imaging: from nano to macro, 2007. ISBI 2007. 4th IEEE international symposium on, IEEE
    • Cai H, Verma R, Ou Y, Lee S, Melhem E, Davatzikos C (2007) Probabilistic segmentation of brain tumors based on multi-modality magnetic resonance images. In: Biomedical imaging: from nano to macro, 2007. ISBI 2007. 4th IEEE international symposium on, IEEE, pp 600–603
    • (2007) pp 600–603
    • Cai, H.1    Verma, R.2    Ou, Y.3    Lee, S.4    Melhem, E.5    Davatzikos, C.6
  • 4
    • 34249753618 scopus 로고
    • Support-vector networks
    • Cortes C, Vapnik V (1995) Support-vector networks. Mach Learn 20(3):273–297
    • (1995) Mach Learn , vol.20 , Issue.3 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 5
    • 84969621276 scopus 로고    scopus 로고
    • Multimodal brain tumor segmentation using the tumor-cut method on the brats dataset. In: Proceedings of the workshop on brain tumor segmentation
    • Hamamci A, Unal G (2012) Multimodal brain tumor segmentation using the tumor-cut method on the brats dataset. In: Proceedings of the workshop on brain tumor segmentation, MICCAI pp 19–23
    • (2012) MICCAI pp 19–23
    • Hamamci, A.1    Unal, G.2
  • 6
    • 84857934398 scopus 로고    scopus 로고
    • Tumor-cut: segmentation of brain tumors on contrast enhanced MR images for radiosurgery applications
    • PID: 22207638
    • Hamamci A, Kucuk N, Karaman K, Engin K, Unal G (2012) Tumor-cut: segmentation of brain tumors on contrast enhanced MR images for radiosurgery applications. IEEE Trans Med Imaging 31(3):790–804
    • (2012) IEEE Trans Med Imaging , vol.31 , Issue.3 , pp. 790-804
    • Hamamci, A.1    Kucuk, N.2    Karaman, K.3    Engin, K.4    Unal, G.5
  • 9
    • 15844410580 scopus 로고    scopus 로고
    • Meinel C (2004) Segmentation and quantification of brain tumor
    • VECIMS: IEEE Symposium on
    • Jiang C, Zhang X, Huang W, Meinel C (2004) Segmentation and quantification of brain tumor. In: Virtual environments, human-computer interfaces and measurement systems, 2004. (VECIMS). 2004 IEEE Symposium on, pp 61–66
    • (2004) and measurement systems , vol.2004 , pp. 61-66
    • Jiang, C.1    Zhang, X.2    Huang, W.3    environments, V.4    interfaces, -C.5
  • 10
    • 70350091440 scopus 로고    scopus 로고
    • Kernel methods in computer vision
    • Lampert CH (2009) Kernel methods in computer vision. Found Trends Comput Graph Vis 4(3):193–285
    • (2009) Found Trends Comput Graph Vis , vol.4 , Issue.3 , pp. 193-285
    • Lampert, C.H.1
  • 12
    • 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
    • PID: 17466495
    • Luts J, Heerschap A, Suykens J, Huffel SV (2007) A combined MRI and MRSI based multiclass system for brain tumour recognition using LS-SVMS with class probabilities and feature selection. Artif Intell Med 40(2):87–102
    • (2007) Artif Intell Med , vol.40 , Issue.2 , pp. 87-102
    • Luts, J.1    Heerschap, A.2    Suykens, J.3    Huffel, S.V.4
  • 15
    • 0003243224 scopus 로고    scopus 로고
    • Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods
    • Advances in large margin classifiers, Citeseer
    • Platt J (1999) Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods. In: Advances in large margin classifiers, Citeseer
    • (1999) In
    • Platt, J.1
  • 17
    • 33847273732 scopus 로고    scopus 로고
    • Segmenting brain tumors using alignment-based features. In: International conference on machine learning and applications
    • Schmidt M, Levner I, Greiner R, Murtha A, Bistritz A (2005) Segmenting brain tumors using alignment-based features. In: International conference on machine learning and applications, p 6
    • (2005) p 6
    • Schmidt, M.1    Levner, I.2    Greiner, R.3    Murtha, A.4    Bistritz, A.5
  • 20
    • 65349098028 scopus 로고    scopus 로고
    • Fluid vector flow and applications in brain tumor segmentation
    • PID: 19174335
    • Wang T, Cheng I, Basu A (2009) Fluid vector flow and applications in brain tumor segmentation. IEEE Trans Biomed Eng 56(3):781–789
    • (2009) IEEE Trans Biomed Eng , vol.56 , Issue.3 , pp. 781-789
    • Wang, T.1    Cheng, I.2    Basu, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.