Cite
NRG Oncology Assessment of Artificial Intelligence Deep Learning–Based Auto-segmentation for Radiation Therapy: Current Developments, Clinical Considerations, and Future Directions.
MLA
Rong, Yi, et al. “NRG Oncology Assessment of Artificial Intelligence Deep Learning–Based Auto-Segmentation for Radiation Therapy: Current Developments, Clinical Considerations, and Future Directions.” International Journal of Radiation Oncology, Biology, Physics, vol. 119, no. 1, May 2024, pp. 261–80. EBSCOhost, https://doi.org/10.1016/j.ijrobp.2023.10.033.
APA
Rong, Y., Chen, Q., Fu, Y., Yang, X., Al-Hallaq, H. A., Wu, Q. J., Yuan, L., Xiao, Y., Cai, B., Latifi, K., Benedict, S. H., Buchsbaum, J. C., & Qi, X. S. (2024). NRG Oncology Assessment of Artificial Intelligence Deep Learning–Based Auto-segmentation for Radiation Therapy: Current Developments, Clinical Considerations, and Future Directions. International Journal of Radiation Oncology, Biology, Physics, 119(1), 261–280. https://doi.org/10.1016/j.ijrobp.2023.10.033
Chicago
Rong, Yi, Quan Chen, Yabo Fu, Xiaofeng Yang, Hania A. Al-Hallaq, Q. Jackie Wu, Lulin Yuan, et al. 2024. “NRG Oncology Assessment of Artificial Intelligence Deep Learning–Based Auto-Segmentation for Radiation Therapy: Current Developments, Clinical Considerations, and Future Directions.” International Journal of Radiation Oncology, Biology, Physics 119 (1): 261–80. doi:10.1016/j.ijrobp.2023.10.033.