东北大学主页平台李赫--Home-- H. Li, Y. Iwamoto, X. Han, A. Furukawa, S. Kanasaki and Y. -W. Chen, "An Efficient and Accurate 3D Multiple-Contextual Semantic Segmentation Network for Medical Volumetric Images," 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Mexico, 2021, pp. 3309-3312, doi: 10.1109/EMBC46164.2021.9629671.

H. Li, Y. Iwamoto, X. Han, A. Furukawa, S. Kanasaki and Y. -W. Chen, "An Efficient and Accurate 3D Multiple-Contextual Semantic Segmentation Network for Medical Volumetric Images," 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Mexico, 2021, pp. 3309-3312, doi: 10.1109/EMBC46164.2021.9629671.: Hits: Release Time:2026-03-06; Title of Paper:H. Li, Y. Iwamoto, X. Han, A. Furukawa, S. Kanasaki and Y. -W. Chen, "An Efficient and Accurate 3D Multiple-Contextual Semantic Segmentation Network for Medical Volumetric Images," 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Mexico, 2021, pp. 3309-3312, doi: 10.1109/EMBC46164.2021.9629671.; Translation or Not:No

Prev One: H. Li et al., "A Weakly-Supervised Anomaly Detection Method via Adversarial Training for Medical Images," 2022 IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, NV, USA, 2022, pp. 1-4, doi: 10.1109/ICCE53296.2022.9730129.