Cite
An integrated model incorporating deep learning, hand-crafted radiomics and clinical and US features to diagnose central lymph node metastasis in patients with papillary thyroid cancer.
MLA
Gao, Yang, et al. “An Integrated Model Incorporating Deep Learning, Hand-Crafted Radiomics and Clinical and US Features to Diagnose Central Lymph Node Metastasis in Patients with Papillary Thyroid Cancer.” BMC Cancer, vol. 24, no. 1, Jan. 2024, pp. 1–11. EBSCOhost, https://doi.org/10.1186/s12885-024-11838-1.
APA
Gao, Y., Wang, W., Yang, Y., Xu, Z., Lin, Y., Lang, T., Lei, S., Xiao, Y., Yang, W., Huang, W., & Li, Y. (2024). An integrated model incorporating deep learning, hand-crafted radiomics and clinical and US features to diagnose central lymph node metastasis in patients with papillary thyroid cancer. BMC Cancer, 24(1), 1–11. https://doi.org/10.1186/s12885-024-11838-1
Chicago
Gao, Yang, Weizhen Wang, Yuan Yang, Ziting Xu, Yue Lin, Ting Lang, Shangtong Lei, et al. 2024. “An Integrated Model Incorporating Deep Learning, Hand-Crafted Radiomics and Clinical and US Features to Diagnose Central Lymph Node Metastasis in Patients with Papillary Thyroid Cancer.” BMC Cancer 24 (1): 1–11. doi:10.1186/s12885-024-11838-1.