APA (7th ed.) Citation

S, U., K, A. R., S, K., SP, N., R, A. S., M, A., & N, P. (2025). Deep learning (DL)-based advancements in prostate cancer imaging: Artificial intelligence (AI)-based segmentation of 68Ga-PSMSA PET for tumor volume assessment. Precision radiation oncology, 9(2), 120. https://doi.org/10.1002/pro6.70014

Chicago Style (17th ed.) Citation

S, Usmani, Al Riyami K, Kheruka S, Numani SP, Al Sukaiti R, Ahmed M, and Pervez N. "Deep Learning (DL)-based Advancements in Prostate Cancer Imaging: Artificial Intelligence (AI)-based Segmentation of 68Ga-PSMSA PET for Tumor Volume Assessment." Precision Radiation Oncology 9, no. 2 (2025): 120. https://doi.org/10.1002/pro6.70014.

MLA (9th ed.) Citation

S, Usmani, et al. "Deep Learning (DL)-based Advancements in Prostate Cancer Imaging: Artificial Intelligence (AI)-based Segmentation of 68Ga-PSMSA PET for Tumor Volume Assessment." Precision Radiation Oncology, vol. 9, no. 2, 2025, p. 120, https://doi.org/10.1002/pro6.70014.