APA (7th ed.) Citation

Haji-Momenian, S., Lin, Z., Patel, B., Law, N., Michalak, A., Nayak, A., . . . Loew, M. (2020). Texture analysis and machine learning algorithms accurately predict histologic grade in small (< 4 cm) clear cell renal cell carcinomas: A pilot study. Abdominal imaging, 45(3), 789-798. https://doi.org/10.1007/s00261-019-02336-1

Chicago Style (17th ed.) Citation

Haji-Momenian, Shawn, Zixian Lin, Bhumi Patel, Nicole Law, Adam Michalak, Anishsanjay Nayak, James Earls, and Murray Loew. "Texture Analysis and Machine Learning Algorithms Accurately Predict Histologic Grade in Small (< 4 cm) Clear Cell Renal Cell Carcinomas: A Pilot Study." Abdominal Imaging 45, no. 3 (2020): 789-798. https://doi.org/10.1007/s00261-019-02336-1.

MLA (9th ed.) Citation

Haji-Momenian, Shawn, et al. "Texture Analysis and Machine Learning Algorithms Accurately Predict Histologic Grade in Small (< 4 cm) Clear Cell Renal Cell Carcinomas: A Pilot Study." Abdominal Imaging, vol. 45, no. 3, 2020, pp. 789-798, https://doi.org/10.1007/s00261-019-02336-1.