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Prata F, Anceschi U, Cordelli E, Faiella E, Civitella A, Tuzzolo P, Iannuzzi A, Ragusa A, Esperto F, Prata SM, et al. Radiomic Machine-Learning Analysis of Multiparametric Magnetic Resonance Imaging in the Diagnosis of Clinically Significant Prostate Cancer: New Combination of Textural and Clinical Features. Current Oncology. 2023; 30(2):2021-2031. https://doi.org/10.3390/curroncol30020157

Prata, Francesco, Umberto Anceschi, Ermanno Cordelli, Eliodoro Faiella, Angelo Civitella, Piergiorgio Tuzzolo, Andrea Iannuzzi, Alberto Ragusa, Francesco Esperto, Salvatore Mario Prata, and et al. 2023. "Radiomic Machine-Learning Analysis of Multiparametric Magnetic Resonance Imaging in the Diagnosis of Clinically Significant Prostate Cancer: New Combination of Textural and Clinical Features" Current Oncology 30, no. 2: 2021-2031. https://doi.org/10.3390/curroncol30020157

Prata, F., Anceschi, U., Cordelli, E., Faiella, E., Civitella, A., Tuzzolo, P., Iannuzzi, A., Ragusa, A., Esperto, F., Prata, S. M., Sicilia, R., Muto, G., Grasso, R. F., Scarpa, R. M., Soda, P., Simone, G., & Papalia, R. (2023). Radiomic Machine-Learning Analysis of Multiparametric Magnetic Resonance Imaging in the Diagnosis of Clinically Significant Prostate Cancer: New Combination of Textural and Clinical Features. Current Oncology, 30(2), 2021-2031. https://doi.org/10.3390/curroncol30020157