APA (7th ed.) Citation

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

Chicago Style (17th ed.) Citation

Rovera, Guido, Serena Grimaldi, Marco Oderda, Monica Finessi, Valentina Giannini, Roberto Passera, Paolo Gontero, and Désirée Deandreis. "Machine Learning CT-Based Automatic Nodal Segmentation and PET Semi-Quantification of Intraoperative 68Ga-PSMA-11 PET/CT Images in High-Risk Prostate Cancer: A Pilot Study." Diagnostics (Basel) 13, no. 18 (2023): 3013. https://doi.org/10.3390/diagnostics13183013.

MLA (9th ed.) Citation

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