Author:
Zhou Yunlai,Wang Bing,Yang Jie,Yang Ying,Tian Xuedong
Reference60 articles.
1. C. Yu, J. Wang, C. Peng, C. Gao, G. Yu, N. Sang, Learning a discriminative feature network for semantic segmentation, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018, pp. 1857–1866.
2. Transformers in medical imaging: A survey;Shamshad,2022
3. U-net: Convolutional networks for biomedical image segmentation;Ronneberger,2015
4. Z. Zhang, X. Zhang, C. Peng, X. Xue, J. Sun, Exfuse: Enhancing feature fusion for semantic segmentation, in: Proceedings of the European Conference on Computer Vision, ECCV, 2018, pp. 269–284.
5. Y. Pang, Y. Li, J. Shen, L. Shao, Towards bridging semantic gap to improve semantic segmentation, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, 2019, pp. 4230–4239.