Gaudiano, C.; Mottola, M.; Bianchi, L.; Corcioni, B.; Cattabriga, A.; Cocozza, M.A.; Palmeri, A.; Coppola, F.; Giunchi, F.; Schiavina, R.;
et al. Beyond Multiparametric MRI and towards Radiomics to Detect Prostate Cancer: A Machine Learning Model to Predict Clinically Significant Lesions. Cancers 2022, 14, 6156.
https://doi.org/10.3390/cancers14246156
AMA Style
Gaudiano C, Mottola M, Bianchi L, Corcioni B, Cattabriga A, Cocozza MA, Palmeri A, Coppola F, Giunchi F, Schiavina R,
et al. Beyond Multiparametric MRI and towards Radiomics to Detect Prostate Cancer: A Machine Learning Model to Predict Clinically Significant Lesions. Cancers. 2022; 14(24):6156.
https://doi.org/10.3390/cancers14246156
Chicago/Turabian Style
Gaudiano, Caterina, Margherita Mottola, Lorenzo Bianchi, Beniamino Corcioni, Arrigo Cattabriga, Maria Adriana Cocozza, Antonino Palmeri, Francesca Coppola, Francesca Giunchi, Riccardo Schiavina,
and et al. 2022. "Beyond Multiparametric MRI and towards Radiomics to Detect Prostate Cancer: A Machine Learning Model to Predict Clinically Significant Lesions" Cancers 14, no. 24: 6156.
https://doi.org/10.3390/cancers14246156
APA Style
Gaudiano, C., Mottola, M., Bianchi, L., Corcioni, B., Cattabriga, A., Cocozza, M. A., Palmeri, A., Coppola, F., Giunchi, F., Schiavina, R., Fiorentino, M., Brunocilla, E., Golfieri, R., & Bevilacqua, A.
(2022). Beyond Multiparametric MRI and towards Radiomics to Detect Prostate Cancer: A Machine Learning Model to Predict Clinically Significant Lesions. Cancers, 14(24), 6156.
https://doi.org/10.3390/cancers14246156
