Cite
For cervical cancer diagnosis: Tissue Raman spectroscopy and multi-level feature fusion with SENet attention mechanism.
MLA
Liu, Yang, et al. “For Cervical Cancer Diagnosis: Tissue Raman Spectroscopy and Multi-Level Feature Fusion with SENet Attention Mechanism.” Spectrochimica Acta Part A: Molecular & Biomolecular Spectroscopy, vol. 303, Dec. 2023, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.saa.2023.123147.
APA
Liu, Y., Chen, C., Xie, X., Lv, X., & Chen, C. (2023). For cervical cancer diagnosis: Tissue Raman spectroscopy and multi-level feature fusion with SENet attention mechanism. Spectrochimica Acta Part A: Molecular & Biomolecular Spectroscopy, 303, N.PAG. https://doi.org/10.1016/j.saa.2023.123147
Chicago
Liu, Yang, Chen Chen, Xiaodong Xie, Xiaoyi Lv, and Cheng Chen. 2023. “For Cervical Cancer Diagnosis: Tissue Raman Spectroscopy and Multi-Level Feature Fusion with SENet Attention Mechanism.” Spectrochimica Acta Part A: Molecular & Biomolecular Spectroscopy 303 (December): N.PAG. doi:10.1016/j.saa.2023.123147.