Automatic IMRT planning via static field fluence prediction (AIP-SFFP): a deep learning algorithm for real-time prostate treatment planning.

MLA

Li, Xinyi, et al. “Automatic IMRT Planning via Static Field Fluence Prediction (AIP-SFFP): A Deep Learning Algorithm for Real-Time Prostate Treatment Planning.” Physics in Medicine and Biology, vol. 65, no. 17, Sept. 2020, p. 175014. EBSCOhost, https://doi.org/10.1088/1361-6560/aba5eb.

APA

Li, X., Zhang, J., Sheng, Y., Chang, Y., Yin, F.-F., Ge, Y., Wu, Q. J., & Wang, C. (2020). Automatic IMRT planning via static field fluence prediction (AIP-SFFP): a deep learning algorithm for real-time prostate treatment planning. Physics in Medicine and Biology, 65(17), 175014. https://doi.org/10.1088/1361-6560/aba5eb

Chicago

Li, Xinyi, Jiahan Zhang, Yang Sheng, Yushi Chang, Fang-Fang Yin, Yaorong Ge, Q Jackie Wu, and Chunhao Wang. 2020. “Automatic IMRT Planning via Static Field Fluence Prediction (AIP-SFFP): A Deep Learning Algorithm for Real-Time Prostate Treatment Planning.” Physics in Medicine and Biology 65 (17): 175014. doi:10.1088/1361-6560/aba5eb.