Machine Learning CT-Based Automatic Nodal Segmentation and PET Semi-Quantification of Intraoperative 68 Ga-PSMA-11 PET/CT Images in High-Risk Prostate Cancer: A Pilot Study.

MLA

Rovera, Guido, et al. “Machine Learning CT-Based Automatic Nodal Segmentation and PET Semi-Quantification of Intraoperative 68 Ga-PSMA-11 PET/CT Images in High-Risk Prostate Cancer: A Pilot Study.” Diagnostics (2075-4418), vol. 13, no. 18, Sept. 2023, p. 3013. EBSCOhost, https://doi.org/10.3390/diagnostics13183013.

APA

Rovera, G., Grimaldi, S., Oderda, M., Finessi, M., Giannini, V., Passera, R., Gontero, P., & Deandreis, D. (2023). Machine Learning CT-Based Automatic Nodal Segmentation and PET Semi-Quantification of Intraoperative 68 Ga-PSMA-11 PET/CT Images in High-Risk Prostate Cancer: A Pilot Study. Diagnostics (2075-4418), 13(18), 3013. https://doi.org/10.3390/diagnostics13183013

Chicago

Rovera, Guido, Serena Grimaldi, Marco Oderda, Monica Finessi, Valentina Giannini, Roberto Passera, Paolo Gontero, and Désirée Deandreis. 2023. “Machine Learning CT-Based Automatic Nodal Segmentation and PET Semi-Quantification of Intraoperative 68 Ga-PSMA-11 PET/CT Images in High-Risk Prostate Cancer: A Pilot Study.” Diagnostics (2075-4418) 13 (18): 3013. doi:10.3390/diagnostics13183013.