Lessons Learned in Building Expertly Annotated Multi-Institution Datasets and Hosting the RSNA AI Challenges.

MLA

Kitamura, Felipe C., et al. “Lessons Learned in Building Expertly Annotated Multi-Institution Datasets and Hosting the RSNA AI Challenges.” Radiology. Artificial Intelligence, vol. 6, no. 3, May 2024, p. e230227. EBSCOhost, https://doi.org/10.1148/ryai.230227.

APA

Kitamura, F. C., Prevedello, L. M., Colak, E., Halabi, S. S., Lungren, M. P., Ball, R. L., Kalpathy-Cramer, J., Kahn, C. E., Jr, Richards, T., Talbott, J. F., Shih, G., Lin, H. M., Andriole, K. P., Vazirabad, M., Erickson, B. J., Flanders, A. E., & Mongan, J. (2024). Lessons Learned in Building Expertly Annotated Multi-Institution Datasets and Hosting the RSNA AI Challenges. Radiology. Artificial Intelligence, 6(3), e230227. https://doi.org/10.1148/ryai.230227

Chicago

Kitamura, Felipe C, Luciano M Prevedello, Errol Colak, Safwan S Halabi, Matthew P Lungren, Robyn L Ball, Jayashree Kalpathy-Cramer, et al. 2024. “Lessons Learned in Building Expertly Annotated Multi-Institution Datasets and Hosting the RSNA AI Challenges.” Radiology. Artificial Intelligence 6 (3): e230227. doi:10.1148/ryai.230227.