Gravina, M.; Spirito, L.; Celentano, G.; Capece, M.; Creta, M.; Califano, G.; Collà Ruvolo, C.; Morra, S.; Imbriaco, M.; Di Bello, F.;
et al. Machine Learning and Clinical-Radiological Characteristics for the Classification of Prostate Cancer in PI-RADS 3 Lesions. Diagnostics 2022, 12, 1565.
https://doi.org/10.3390/diagnostics12071565
AMA Style
Gravina M, Spirito L, Celentano G, Capece M, Creta M, Califano G, Collà Ruvolo C, Morra S, Imbriaco M, Di Bello F,
et al. Machine Learning and Clinical-Radiological Characteristics for the Classification of Prostate Cancer in PI-RADS 3 Lesions. Diagnostics. 2022; 12(7):1565.
https://doi.org/10.3390/diagnostics12071565
Chicago/Turabian Style
Gravina, Michela, Lorenzo Spirito, Giuseppe Celentano, Marco Capece, Massimiliano Creta, Gianluigi Califano, Claudia Collà Ruvolo, Simone Morra, Massimo Imbriaco, Francesco Di Bello,
and et al. 2022. "Machine Learning and Clinical-Radiological Characteristics for the Classification of Prostate Cancer in PI-RADS 3 Lesions" Diagnostics 12, no. 7: 1565.
https://doi.org/10.3390/diagnostics12071565
APA Style
Gravina, M., Spirito, L., Celentano, G., Capece, M., Creta, M., Califano, G., Collà Ruvolo, C., Morra, S., Imbriaco, M., Di Bello, F., Sciuto, A., Cuocolo, R., Napolitano, L., La Rocca, R., Mirone, V., Sansone, C., & Longo, N.
(2022). Machine Learning and Clinical-Radiological Characteristics for the Classification of Prostate Cancer in PI-RADS 3 Lesions. Diagnostics, 12(7), 1565.
https://doi.org/10.3390/diagnostics12071565
