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NTIS 바로가기대한임베디드공학회논문지 = IEMEK Journal of embedded systems and applications, v.16 no.2, 2021년, pp.51 - 57
최재협 (Kyungpook National University) , 이해진 (Kyungpook National University) , 정창욱 (Seoul National University Hospital) , 정희철 (Kyungpook National University)
In this paper, we propose an artificial intelligence (AI) service that plays a supportive role in robot assisted-surgery using deep learning algorithm that have recently been spotlighted in several fields. The proposed AI service is equipped with the ability to segment surgical tools and the ability...
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, Alexander C. Berg and Li Fei-Fei "Imagenet large scale visual recognition challenge." International journal of computer vision 115.3 (2015): 211-252.
Krizhevsky, Alex, Ilya Sutskever, Geoffrey E. Hinton. "ImageNet classification with deep convolutional neural networks." Communications of the ACM 60.6 (2017): 84-90.
Simonyan, Karen, Andrew Zisserman. "Very deep convolutional networks for large-scale image recognition." arXiv preprint arXiv:1409.1556 (2014).
K. He, X. Zhang, S. Ren, J. Sun, "Deep residual learning for image recognition," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 770-778, 2016.
Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich. "Going deeper with convolutions." Proceedings of the IEEE conference on computer vision and pattern recognition. 2015.
Gao Huang, Zhuang Liu, Laurens van der Maaten, Kilian Q. Weinberger. "Densely connected convolutional networks." Proceedings of the IEEE conference on computer vision and pattern recognition. 2017.
Tan, Mingxing, Quoc Le. "Efficientnet: Rethinking model scaling for convolutional neural networks." International Conference on Machine Learning. PMLR, 2019.
Long, Jonathan, Evan Shelhamer, Trevor Darrell. "Fully convolutional networks for semantic segmentation." Proceedings of the IEEE conference on computer vision and pattern recognition. 2015.
Ronneberger, Olaf, Philipp Fischer, Thomas Brox. "U-net: Convolutional networks for biomedical image segmentation." International Conference on Medical image computing and computer-assisted intervention. Springer, Cham, 2015.
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, Alan L. Yuille. "Semantic image segmentation with deep convolutional nets and fully connected crfs." arXiv preprint arXiv:1412.7062 (2014).
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, Alan L. Yuille. "Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs." IEEE transactions on pattern analysis and machine intelligence 40.4 (2017): 834-848.
Liang-Chieh Chen, George Papandreou, Florian Schroff, Hartwig Adam. "Rethinking atrous convolution for semantic image segmentation." arXiv preprint arXiv:1706.05587 (2017).
Liang-Chieh Chen, Yukun Zhu, George Papandreou, Florian Schroff, Hartwig Adam. "Encoder-decoder with atrous separable convolution for semantic image segmentation." Proceedings of the European conference on computer vision (ECCV). 2018.
Saining Xie, Ross Girshick, Piotr Dollar, Zhuowen Tu, Kaiming He. "Aggregated residual transformations for deep neural networks." Proceedings of the IEEE conference on computer vision and pattern recognition. 2017.
Zagoruyko, Sergey, Nikos Komodakis. "Wide residual networks." arXiv preprint arXiv:1605.07146 (2016).
Bryan C. Russell, Antonio Torralba, Kevin P. Murphy, William T. Freeman. "LabelMe: a database and web-based tool for image annotation." International journal of computer vision 77.1-3 (2008): 157-173.
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