APA (7th ed.) Citation

Zhao, Z., Yu, Y., Lin, Z., Ma, D., Lin, Y., Hu, J., . . . Long, H. (2023). Invasiveness assessment by artificial intelligence against intraoperative frozen section for pulmonary nodules ≤ 3 cm. Journal of Cancer Research & Clinical Oncology, 149(10), 7759. https://doi.org/10.1007/s00432-023-04713-2

Chicago Style (17th ed.) Citation

Zhao, Ze-Rui, et al. "Invasiveness Assessment by Artificial Intelligence Against Intraoperative Frozen Section for Pulmonary Nodules ≤ 3 cm." Journal of Cancer Research & Clinical Oncology 149, no. 10 (2023): 7759. https://doi.org/10.1007/s00432-023-04713-2.

MLA (9th ed.) Citation

Zhao, Ze-Rui, et al. "Invasiveness Assessment by Artificial Intelligence Against Intraoperative Frozen Section for Pulmonary Nodules ≤ 3 cm." Journal of Cancer Research & Clinical Oncology, vol. 149, no. 10, 2023, p. 7759, https://doi.org/10.1007/s00432-023-04713-2.