Assessing the Feasibility of Using Artificial Intelligence-Segmented Dominant Intraprostatic Lesion for Focal Intraprostatic Boost With External Beam Radiation Therapy.

MLA

Tsui, James M. G., et al. “Assessing the Feasibility of Using Artificial Intelligence-Segmented Dominant Intraprostatic Lesion for Focal Intraprostatic Boost With External Beam Radiation Therapy.” International Journal of Radiation Oncology, Biology, Physics, vol. 118, no. 1, Jan. 2024, pp. 74–84. EBSCOhost, https://doi.org/10.1016/j.ijrobp.2023.07.029.

APA

Tsui, J. M. G., Kehayias, C. E., Leeman, J. E., Nguyen, P. L., Peng, L., Yang, D. D., Moningi, S., Martin, N., Orio, P. F., D’Amico, A. V., Bredfeldt, J. S., Lee, L. K., Guthier, C. V., & King, M. T. (2024). Assessing the Feasibility of Using Artificial Intelligence-Segmented Dominant Intraprostatic Lesion for Focal Intraprostatic Boost With External Beam Radiation Therapy. International Journal of Radiation Oncology, Biology, Physics, 118(1), 74–84. https://doi.org/10.1016/j.ijrobp.2023.07.029

Chicago

Tsui, James M G, Christopher E Kehayias, Jonathan E Leeman, Paul L Nguyen, Luke Peng, David D Yang, Shalini Moningi, et al. 2024. “Assessing the Feasibility of Using Artificial Intelligence-Segmented Dominant Intraprostatic Lesion for Focal Intraprostatic Boost With External Beam Radiation Therapy.” International Journal of Radiation Oncology, Biology, Physics 118 (1): 74–84. doi:10.1016/j.ijrobp.2023.07.029.