APA (7th ed.) Citation

Tsilimigras, D. I., Mehta, R., Moris, D., Sahara, K., Bagante, F., Paredes, A. Z., . . . Pawlik, T. M. (2020). A Machine-Based Approach to Preoperatively Identify Patients with the Most and Least Benefit Associated with Resection for Intrahepatic Cholangiocarcinoma: An International Multi-institutional Analysis of 1146 Patients. Annals of surgical oncology, 27(4), 1110-1119. https://doi.org/10.1245/s10434-019-08067-3

Chicago Style (17th ed.) Citation

Tsilimigras, Diamantis I., et al. "A Machine-Based Approach to Preoperatively Identify Patients with the Most and Least Benefit Associated With Resection for Intrahepatic Cholangiocarcinoma: An International Multi-institutional Analysis of 1146 Patients." Annals of Surgical Oncology 27, no. 4 (2020): 1110-1119. https://doi.org/10.1245/s10434-019-08067-3.

MLA (9th ed.) Citation

Tsilimigras, Diamantis I., et al. "A Machine-Based Approach to Preoperatively Identify Patients with the Most and Least Benefit Associated With Resection for Intrahepatic Cholangiocarcinoma: An International Multi-institutional Analysis of 1146 Patients." Annals of Surgical Oncology, vol. 27, no. 4, 2020, pp. 1110-1119, https://doi.org/10.1245/s10434-019-08067-3.