메뉴 건너뛰기




Volumn 5590 LNAI, Issue , 2009, Pages 736-747

Brain tumor segmentation using support vector machines

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN IMAGES; BRAIN TUMOR SEGMENTATION; CLASSIFICATION METHODS; DATA SETS; EXPERIMENTAL STUDIES; EXTRACTION PROCESS; IMAGE INTENSITIES; MEDICAL AREAS; MEDICAL EXPERTS; MEDICAL IMAGE SEGMENTATION; NORMAL TISSUE; TUMOR SHAPE;

EID: 69049103264     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02906-6_63     Document Type: Conference Paper
Times cited : (63)

References (21)
  • 2
    • 84875732198 scopus 로고    scopus 로고
    • Segmentation d'images céré brales: Etat de l'art
    • INRIA 6306 September
    • Lecoeur, J., Barillot, C.: Segmentation d'images céré brales: Etat de l'art. Rapport de Recherche INRIA 6306 (September 2007)
    • (2007) Rapport de Recherche
    • Lecoeur, J.1    Barillot, C.2
  • 4
    • 0347252327 scopus 로고    scopus 로고
    • Automatic brain tumor segmentation by subject specific modification of atlas priors
    • Prastawa, M., Bullitt, E., Moon, N.: Automatic brain tumor segmentation by subject specific modification of atlas priors. Acad. Radiol. 10(12), 1341-1348 (2003)
    • (2003) Acad. Radiol , vol.10 , Issue.12 , pp. 1341-1348
    • Prastawa, M.1    Bullitt, E.2    Moon, N.3
  • 5
    • 33646706434 scopus 로고    scopus 로고
    • University of Alberta, Department of computing science
    • Schmidt, M.: Automatic brain tumor segmentation. University of Alberta, Department of computing science (2005)
    • (2005) Automatic brain tumor segmentation
    • Schmidt, M.1
  • 7
    • 0031064485 scopus 로고    scopus 로고
    • Using neural networks to automatically detect brain tumours in MR images
    • Dickson, S., Thomas, B.: Using neural networks to automatically detect brain tumours in MR images. International Journal of Neural Systems 4(1), 91-99 (1997)
    • (1997) International Journal of Neural Systems , vol.4 , Issue.1 , pp. 91-99
    • Dickson, S.1    Thomas, B.2
  • 9
    • 4444333897 scopus 로고    scopus 로고
    • Brain tumor segmentation framework based on outlier detection
    • Prastawa, M., Bullitt, E., Ho, S., Gerig, G.: Brain tumor segmentation framework based on outlier detection. Medical Image Analysis 8(3), 275-283 (2004)
    • (2004) Medical Image Analysis , vol.8 , Issue.3 , pp. 275-283
    • Prastawa, M.1    Bullitt, E.2    Ho, S.3    Gerig, G.4
  • 10
    • 0003425664 scopus 로고    scopus 로고
    • Support vector machine for classification and regression
    • Science and Mathematics School of Electronics and Computer Science
    • Gunn, S.R.: Support vector machine for classification and regression. Technical report Faculty of Engineering, Science and Mathematics School of Electronics and Computer Science (1998)
    • (1998) Technical report Faculty of Engineering
    • Gunn, S.R.1
  • 11
    • 0007367697 scopus 로고    scopus 로고
    • Texture analysis methods: A review
    • B11 Technical University of Lodz Poland
    • Materka, A., Strzelecki, M.: Texture analysis methods: a review. Technical report COST B11 Technical University of Lodz Poland (1998)
    • (1998) Technical report COST
    • Materka, A.1    Strzelecki, M.2
  • 14
    • 35048901041 scopus 로고    scopus 로고
    • Hayman, E., Caputo, E., Fritz, M., Eklundh, J.: On the significance of real-world conditions for material classification. In: Pajdla, T., Matas, J(G.) (eds.) ECCV 2004. LNCS, 3024, pp. 253-266. Springer, Heidelberg (2004)
    • Hayman, E., Caputo, E., Fritz, M., Eklundh, J.: On the significance of real-world conditions for material classification. In: Pajdla, T., Matas, J(G.) (eds.) ECCV 2004. LNCS, vol. 3024, pp. 253-266. Springer, Heidelberg (2004)
  • 17
    • 33751424502 scopus 로고    scopus 로고
    • Computer aided diagnosis based on medical image processing and artificial intelligence methods
    • Stoitsis, J., et al.: Computer aided diagnosis based on medical image processing and artificial intelligence methods. Nuclear Instruments and Methods in Physics Research 569(2), 591-595 (2006)
    • (2006) Nuclear Instruments and Methods in Physics Research , vol.569 , Issue.2 , pp. 591-595
    • Stoitsis, J.1
  • 19
    • 0000403654 scopus 로고
    • An mri-based stereotactic atlas from 250 young normal subjects
    • Evans, A., et al.: An mri-based stereotactic atlas from 250 young normal subjects. Society for Neuroscience Abstracts 18, 408 (1992)
    • (1992) Society for Neuroscience Abstracts , vol.18 , pp. 408
    • Evans, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.