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Volumn 10433 LNCS, Issue , 2017, Pages 203-211

Learning and incorporating shape models for semantic segmentation

Author keywords

[No Author keywords available]

Indexed keywords

MEDICAL COMPUTING; MEDICAL IMAGING; SEMANTICS;

EID: 85029348260     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-66182-7_24     Document Type: Conference Paper
Times cited : (152)

References (14)
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  • 3
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    • Deep learning shape priors for object segmentation
    • June
    • Chen, F., Yu, H., Hu, R., Zeng, X.: Deep learning shape priors for object segmentation. In: Proceedings of CVPR, pp. 1870–1877, June 2013
    • (2013) Proceedings of CVPR , pp. 1870-1877
    • Chen, F.1    Yu, H.2    Hu, R.3    Zeng, X.4
  • 4
    • 33846221503 scopus 로고    scopus 로고
    • A review of statistical approaches to level set segmentation: Integrating color, texture, motion and shape
    • Cremers, D., Rousson, M., Deriche, R.: A review of statistical approaches to level set segmentation: integrating color, texture, motion and shape. IJCV 72(2), 195– 215 (2007)
    • (2007) IJCV , vol.72 , Issue.2 , pp. 195-215
    • Cremers, D.1    Rousson, M.2    Deriche, R.3
  • 5
    • 84897111386 scopus 로고    scopus 로고
    • The shape boltzmann machine: A strong model of object shape
    • Eslami, S.M., Heess, N., Williams, C.K., Winn, J.: The shape boltzmann machine: a strong model of object shape. Int. J. Comput. Vis. 107(2), 155–176 (2014)
    • (2014) Int. J. Comput. Vis. , vol.107 , Issue.2 , pp. 155-176
    • Eslami, S.M.1    Heess, N.2    Williams, C.K.3    Winn, J.4
  • 9
    • 85020532120 scopus 로고    scopus 로고
    • Joint deep learning of foreground, background and shape for robust contextual segmentation
    • Niethammer, M., Styner, M., Aylward, S., Zhu, H., Oguz, I., Yap, P.-T., Shen, D. (eds.), Springer, Cham
    • Ravishankar, H., Thiruvenkadam, S., Venkataramani, R., Vaidya, V.: Joint deep learning of foreground, background and shape for robust contextual segmentation. In: Niethammer, M., Styner, M., Aylward, S., Zhu, H., Oguz, I., Yap, P.-T., Shen, D. (eds.) IPMI 2017. LNCS, vol. 10265, pp. 622–632. Springer, Cham (2017). doi:10.1007/978-3-319-59050-9_49
    • (2017) IPMI 2017. LNCS , vol.10265 , pp. 622-632
    • Ravishankar, H.1    Thiruvenkadam, S.2    Venkataramani, R.3    Vaidya, V.4
  • 12
    • 84959205572 scopus 로고    scopus 로고
    • Fully convolutional networks for semantic segmentation
    • Long, J., Shelhamer, E., Darrell, T.: Fully convolutional networks for semantic segmentation. In: Proceedings of CVPR, pp. 3431–3440 (2015)
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  • 13
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    • U-Net: Convolutional networks for biomedical image segmentation
    • Navab, N., Hornegger, J., Wells, W.M., Frangi, A.F. (eds.), Springer, Cham
    • Ronneberger, O., Fischer, P., Brox, T.: U-Net: convolutional networks for biomedical image segmentation. In: Navab, N., Hornegger, J., Wells, W.M., Frangi, A.F. (eds.) MICCAI 2015. LNCS, vol. 9351, pp. 234–241. Springer, Cham (2015). doi:10.1007/978-3-319-24574-4_28
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.