APA (7th ed.) Citation

Li, X., Fang, X., Yang, G., Su, S., Zhu, L., & Yu, Z. (2023, January). TransU²-Net: An Effective Medical Image Segmentation Framework Based on Transformer and U²-Net. IEEE Journal of Translational Engineering in Health and Medicine.

Chicago Style (17th ed.) Citation

Li, Xiang, Xianjin Fang, Gaoming Yang, Shuzhi Su, Li Zhu, and Zekuan Yu. "TransU²-Net: An Effective Medical Image Segmentation Framework Based on Transformer and U²-Net." IEEE Journal of Translational Engineering in Health and Medicine Jan. 2023.

MLA (9th ed.) Citation

Li, Xiang, et al. "TransU²-Net: An Effective Medical Image Segmentation Framework Based on Transformer and U²-Net." IEEE Journal of Translational Engineering in Health and Medicine, Jan. 2023.