Publisher
Springer Nature Switzerland
Reference24 articles.
1. International agency for research on cancer, world health organization homepage. https://gco.iarc.fr/today/online-analysis-map?v=2020 &mode=cancer. Accessed 4 Apr 2023
2. Benčević, M., Galić, I., Habijan, M., Babin, D.: Training on polar image transformations improves biomedical image segmentation. IEEE Access 9, 133365–133375 (2021). https://doi.org/10.1109/ACCESS.2021.3116265
3. Bilic, P., et al.: The liver tumor segmentation benchmark (LiTS). Med. Image Anal. 84, 102680 (2023). https://doi.org/10.1016/j.media.2022.102680
4. Di, S., Zhao, Y.Q., Liao, M., Zhang, F., Li, X.: TD-Net: a hybrid end-to-end network for automatic liver tumor segmentation from CT images. IEEE J. Biomed. Health Inform. 27(3), 1163–1172 (2023). https://doi.org/10.1109/JBHI.2022.3181974
5. Dong, C., et al.: A knowledge-based interactive liver segmentation using random walks. In: 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), pp. 1731–1736 (2015). https://doi.org/10.1109/FSKD.2015.7382208
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献