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This paper reports Deep LOGISMOS approach to 3D tumor segmentation by incorporating boundary information derived from deep contextual learning to LOGISMOS - layered optimal graph image segmentation of multiple objects and surfaces.
“Long short-term memory,”
S. Hochreiter and Jü. Schmidhuber, · 1997
Earlier work this paper cites.
“An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision,”
Y. Boykov and V. Kolmogorov, · 2004
Earlier work this paper cites.
“LOGISMOS-layered optimal graph image segmentation of multiple objects and surfaces: cartilage segmentation in the knee joint,”
Y. Yin, X. Zhang, R. Williams, X. Wu, D. D. Anderson, and M. Sonka, · 2010
Earlier work this paper cites.
“Cancer statistics, 2014,”
R. Siegel, J. Ma, Z. Zou, and A. Jemal, · 2014
Earlier work this paper cites.
“Caffe: Convolutional architecture for fast feature embedding,”
Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell, · 2014
Cited alongside, same era.
“U-Net: Convolutional networks for biomedical image segmentation,”
O. Ronneberger, P. Fischer, and T. Brox, · 2015
Cited alongside, same era.
“Combining fully convolutional and recurrent neural networks for 3D biomedical image segmentation,”
J. Chen, L. Yang, Y. Zhang, M. Alber, and D. Chen, · 2016
Cited alongside, same era.
“3D U-Net: learning dense volumetric segmentation from sparse annotation,”
Ö. Çiçek, A. Abdulkadir, S. S. Lienkamp, T. Brox, and O. Ronneberger, · 2016
Cited alongside, same era.
“Personalized pancreatic tumor growth prediction via group learning,”
L. Zhang, L. Lu, R. M. Summers, E. Kebebew, and J. Yao, · 2017
Later among the works it cites.
“Joint sequence learning and cross-modality convolution for 3D biomedical segmentation,”
K. Tseng, Y. Lin, W. Hsu, and C. Huang, · 2017
Later among the works it cites.
“Combining fully convolutional networks and graph-based approach for automated segmentation of cervical cell nuclei,”
L. Zhang, M. Sonka, L. Lu, R. M. Summers, and J. Yao, · 2017
Later among the works it cites.
“Machine learning in a graph framework for subcortical segmentation,”
Z. Guo, S. Kashyap, M. Sonka, and I. Oguz, · 2017
Later among the works it cites.
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