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Surgical instrument segmentation is extremely important for computer-assisted surgery.
U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
Earlier work this paper cites.
Surgical tool segmentation using a hybrid deep cnn-rnn auto encoder-decoder
Mohamed Attia, Mohammed Hossny, Saeid Nahavandi, and Hamed Asadi · 2017
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Segnet: A deep convolutional encoder-decoder architecture for image segmentation
Vijay Badrinarayanan, Alex Kendall, and Roberto Cipolla · 2017
Earlier work this paper cites.
Linknet: Exploiting encoder representations for efficient semantic segmentation
Abhishek Chaurasia and Eugenio Culurciello · 2017
Earlier work this paper cites.
Toolnet: Holistically-nested real-time segmentation of robotic surgical tools
Luis C García-Peraza-Herrera, Wenqi Li, Lucas Fidon, Caspar Gruijthuijsen, Alain Devreker, George Attilakos, Jan Deprest, Emmanuel Vander Poorten, Danail Stoyanov, Tom Vercauteren, et al · 2017
Earlier work this paper cites.
Improved bilinear pooling with cnns
Tsung-Yu Lin and Subhransu Maji · 2017
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Refinenet: Multi-path refinement networks for high-resolution semantic segmentation
G. Lin, A. Milan, C. Shen, and I. Reid · 2017
Earlier work this paper cites.
Feature pyramid networks for object detection
Tsung-Yi Lin, Piotr Dollar, Ross Girshick, Kaiming He, Bharath Hariharan, and Serge Belongie · 2017
Earlier work this paper cites.
Detection and localization of robotic tools in robot-assisted surgery videos using deep neural networks for region proposal and detection
D. Sarikaya, J. J. Corso, and K. A. Guru · 2017
Cited alongside, same era.
Pyramid scene parsing network
H. Zhao, J. Shi, X. Qi, X. Wang, and J. Jia · 2017
Cited alongside, same era.
Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs
L. Chen, G. Papandreou, I. Kokkinos, K. Murphy, and A. L. Yuille · 2018
Cited alongside, same era.
Aˆ2-nets: Double attention networks
Yunpeng Chen, Yannis Kalantidis, Jianshu Li, Shuicheng Yan, and Jiashi Feng · 2018
Cited alongside, same era.
Squeeze-and-excitation networks
J. Hu, L. Shen, and G. Sun · 2018
Cited alongside, same era.
Ternausnet: U-net with vgg11 encoder pre-trained on imagenet for image segmentation
Denseaspp for semantic segmentation in street scenes
M. Yang, K. Yu, C. Zhang, Z. Li, and K. Yang · 2018
Later among the works it cites.
Progressive attention guided recurrent network for salient object detection
X. Zhang, T. Wang, J. Qi, H. Lu, and G. Wang · 2018
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2017 robotic instrument segmentation challenge
M. Allan, A. Shvets, T. Kurmann, Z. Zhang, R. Duggal, Y.H. Su, N. Rieke, I. Laina, N. Kalavakonda, S. Bodenstedt, L.C. Garcia-Peraza-Herrera, W. Li, V. Iglovikov, H. Luo, J. Yang, D. Stoyanov, L. Maier-Hein, S. Speidel, and M. Azizian · 2019
Later among the works it cites.
Incorporating temporal prior from motion flow for instrument segmentation in minimally invasive surgery video
Yueming Jin, Keyun Cheng, Qi Dou, and Pheng-Ann Heng · 2019
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Selective kernel networks
Xiang Li, Wenhai Wang, Xiaolin Hu, and Jian Yang · 2019
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Vladimir Iglovikov and Alexey Shvets · 2018
Cited alongside, same era.
Bilinear attention networks
Jin-Hwa Kim, Jaehyun Jun, and Byoung-Tak Zhang · 2018
Cited alongside, same era.
Zhen-Liang Ni, Gui-Bin Bian, Xiao-Hu Zhou, Zeng-Guang Hou, Xiao-Liang Xie, Chen Wang, Yan-Jie Zhou, Rui-Qi Li, and Zhen Li · 2019
Later among the works it cites.
Surgical instrument segmentation for endoscopic vision with data fusion of cnn prediction and kinematic pose
F. Qin, Y. Li, Y. Su, D. Xu, and B. Hannaford · 2019
Later among the works it cites.