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Volumn 9352, Issue , 2015, Pages 212-219

Semi-automatic liver tumor segmentation in dynamic contrast-enhanced CT scans using random forests and supervoxels

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER AIDED INSTRUCTION; DECISION TREES; LEARNING ALGORITHMS; LEARNING SYSTEMS; MEDICAL IMAGING; SEMANTICS; TUMORS;

EID: 84951953313     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-24888-2_26     Document Type: Conference Paper
Times cited : (8)

References (14)
  • 5
    • 84863346584 scopus 로고    scopus 로고
    • Segmentation of liver tumor using efficient global optimal tree metrics graph cuts
    • Yoshida, H., Sakas, G., Linguraru, M.G., (eds.), Springer, Heidelberg
    • Fang, R., Zabih, R., Raj, A., Chen, T.: Segmentation of liver tumor using efficient global optimal tree metrics graph cuts. In: Yoshida, H., Sakas, G., Linguraru, M.G. (eds.) Abdominal Imaging. Computational and Clinical Applications. LNCS, vol. 7029, pp. 51-59. Springer, Heidelberg (2012)
    • (2012) Abdominal Imaging. Computational and Clinical Applications. LNCS , vol.7029 , pp. 51-59
    • Fang, R.1    Zabih, R.2    Raj, A.3    Chen, T.4
  • 8
    • 0035478854 scopus 로고    scopus 로고
    • Random Forests
    • Breiman, L.: Random Forests. Machine learning 45(1), 5-32 (2001)
    • (2001) Machine Learning , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 9
    • 84859414659 scopus 로고    scopus 로고
    • Decision forests: A unified framework for classification, regression, density estimation, manifold learning and semi-supervised learning
    • Criminisi, A., Shotton, J., Konukoglu, E.: Decision forests: A unified framework for classification, regression, density estimation, manifold learning and semi-supervised learning. Foundations and Trends in Computer Graphics and Vision 7(2-3) (2012)
    • (2012) Foundations and Trends in Computer Graphics and Vision , vol.7 , Issue.2-3
    • Criminisi, A.1    Shotton, J.2    Konukoglu, E.3
  • 10
    • 84872927953 scopus 로고    scopus 로고
    • Automatic detection and segmentation of kidneys in 3D CT Images using random forests
    • Ayache, N., Delingette, H., Golland, P., Mori, K. (eds.), Springer, Heidelberg
    • Cuingnet, R., Prevost, R., Lesage, D., Cohen, L.D., Mory, B., Ardon, R.: Automatic detection and segmentation of kidneys in 3D CT Images using random forests. In: Ayache, N., Delingette, H., Golland, P., Mori, K. (eds.) MICCAI 2012. LNCS, vol. 7512, pp. 66-74. Springer, Heidelberg (2012)
    • (2012) MICCAI 2012. LNCS , vol.7512 , pp. 66-74
    • Cuingnet, R.1    Prevost, R.2    Lesage, D.3    Cohen, L.D.4    Mory, B.5    Ardon, R.6
  • 11
    • 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
    • Fichtinger, G., Martel, A., Peters, T., (eds.), Springer, Heidelberg
    • Bauer, S., Nolte, L.-P., Reyes, M.: Fully automatic segmentation of brain tumor images using support vector machine classification in combination with hierarchical conditional random field regularization. In: Fichtinger, G., Martel, A., Peters, T. (eds.) MICCAI 2011. LNCS, vol. 6893, pp. 354-361. Springer, Heidelberg (2011)
    • (2011) MICCAI 2011. LNCS , vol.6893 , pp. 354-361
    • Bauer, S.1    Nolte, L.-P.2    Reyes, M.3
  • 14
    • 1942438249 scopus 로고    scopus 로고
    • Simultaneous truth and performance level estimation (STAPLE): An algorithm for the validation of image segmentation
    • Warfield, S.K., Zou, K.H., Wells, W.M.: Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation. IEEE Transactions on Medical Imaging 23(7), 903-921 (2004)
    • (2004) IEEE Transactions on Medical Imaging , vol.23 , Issue.7 , pp. 903-921
    • Warfield, S.K.1    Zou, K.H.2    Wells, W.M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.