Cite
SwinUNeCCt: bidirectional hash-based agent transformer for cervical cancer MRI image multi-task learning.
MLA
Yang, Chongshuang, et al. “SwinUNeCCt: Bidirectional Hash-Based Agent Transformer for Cervical Cancer MRI Image Multi-Task Learning.” Scientific Reports, vol. 14, no. 1, Oct. 2024, pp. 1–14. EBSCOhost, https://doi.org/10.1038/s41598-024-75544-5.
APA
Yang, C., Tan, Z., Wang, Y., Bi, R., Shi, T., Yang, J., Huang, C., Jiang, P., & Fu, X. (2024). SwinUNeCCt: bidirectional hash-based agent transformer for cervical cancer MRI image multi-task learning. Scientific Reports, 14(1), 1–14. https://doi.org/10.1038/s41598-024-75544-5
Chicago
Yang, Chongshuang, Zhuoyi Tan, YiJie Wang, Ran Bi, Tianliang Shi, Jing Yang, Chao Huang, Peng Jiang, and Xiangyang Fu. 2024. “SwinUNeCCt: Bidirectional Hash-Based Agent Transformer for Cervical Cancer MRI Image Multi-Task Learning.” Scientific Reports 14 (1): 1–14. doi:10.1038/s41598-024-75544-5.