Artificial intelligence for assessment of vascular involvement and tumor resectability on CT in patients with pancreatic cancer

MLA

Jacqueline I. Bereska, et al. “Artificial Intelligence for Assessment of Vascular Involvement and Tumor Resectability on CT in Patients with Pancreatic Cancer.” European Radiology Experimental, vol. 8, no. 1, Feb. 2024, pp. 1–10. EBSCOhost, https://doi.org/10.1186/s41747-023-00419-9.

APA

Jacqueline I. Bereska, Boris V. Janssen, C. Yung Nio, Marnix P. M. Kop, Geert Kazemier, Olivier R. Busch, Femke Struik, Henk A. Marquering, Jaap Stoker, Marc G. Besselink, Inez M. Verpalen, & for the Pancreatobiliary and Hepatic Artificial Intelligence Research (PHAIR) consortium. (2024). Artificial intelligence for assessment of vascular involvement and tumor resectability on CT in patients with pancreatic cancer. European Radiology Experimental, 8(1), 1–10. https://doi.org/10.1186/s41747-023-00419-9

Chicago

Jacqueline I. Bereska, Boris V. Janssen, C. Yung Nio, Marnix P. M. Kop, Geert Kazemier, Olivier R. Busch, Femke Struik, et al. 2024. “Artificial Intelligence for Assessment of Vascular Involvement and Tumor Resectability on CT in Patients with Pancreatic Cancer.” European Radiology Experimental 8 (1): 1–10. doi:10.1186/s41747-023-00419-9.