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ET-Net: A Generic Edge-aTtention Guidance Network for Medical Image Segmentation.

Z. Zhang, H. Fu, H. Dai, J. Shen, Y. Pang, and L. Shao. CoRR, (2019)

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Local Feature Binary Coding for Approximate Nearest Neighbor Search.L. Liu, M. Yu, and L. Shao. BMVC, page 173.1-173.12. BMVA Press, (2015)Submodular Object Recognition.F. Zhu, Z. Jiang, and L. Shao. CVPR, page 2457-2464. IEEE Computer Society, (2014)Unsupervised Spectral Dual Assignment Clustering of Human Actions in Context.S. Jones, and L. Shao. CVPR, page 604-611. IEEE Computer Society, (2014)Leveraging Hierarchical Parametric Networks for Skeletal Joints Based Action Segmentation and Recognition.D. Wu, and L. Shao. CVPR, page 724-731. IEEE Computer Society, (2014)Beyond Semantic Attributes: Discrete Latent Attributes Learning for Zero-Shot Recognition.J. Qin, Y. Wang, L. Liu, J. Chen, and L. Shao. IEEE Signal Process. Lett., 23 (11): 1667-1671 (2016)Editorial IEEE Transactions on Neural Networks and Learning Systems 2016 and Beyond.H. He, N. Chawla, H. Chen, Y. Choe, A. Engelbrecht, J. deva, L. Long, A. Minai, F. Nie, U. Ozertem and 6 other author(s). IEEE Trans. Neural Netw. Learning Syst., 27 (1): 1-7 (2016)Recognising occluded multi-view actions using local nearest neighbour embedding.Y. Long, F. Zhu, and L. Shao. Computer Vision and Image Understanding, (2016)Cross-Modality Image Synthesis via Weakly Coupled and Geometry Co-Regularized Joint Dictionary Learning.Y. Huang, L. Shao, and A. Frangi. IEEE Trans. Med. Imaging, 37 (3): 815-827 (2018)Building recognition in urban environments: A survey of state-of-the-art and future challenges.J. Li, W. Huang, L. Shao, and N. Allinson. Inf. Sci., (2014)Automatic Analysis of Microaneurysms Turnover to Diagnose the Progression of Diabetic Retinopathy.J. Xu, X. Zhang, H. Chen, J. Li, J. Zhang, L. Shao, and G. Wang. IEEE Access, (2018)

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ET-Net: A Generic Edge-aTtention Guidance Network for Medical Image Segmentation.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML ET-Net: A Generic Edge-aTtention Guidance Network for Medical Image Segmentation.

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ET-Net: A Generic Edge-aTtention Guidance Network for Medical Image Segmentation.