Gentile, F.; Ferro, M.; Della Ventura, B.; La Civita, E.; Liotti, A.; Cennamo, M.; Bruzzese, D.; Velotta, R.; Terracciano, D.
Optimized Identification of High-Grade Prostate Cancer by Combining Different PSA Molecular Forms and PSA Density in a Deep Learning Model. Diagnostics 2021, 11, 335.
https://doi.org/10.3390/diagnostics11020335
AMA Style
Gentile F, Ferro M, Della Ventura B, La Civita E, Liotti A, Cennamo M, Bruzzese D, Velotta R, Terracciano D.
Optimized Identification of High-Grade Prostate Cancer by Combining Different PSA Molecular Forms and PSA Density in a Deep Learning Model. Diagnostics. 2021; 11(2):335.
https://doi.org/10.3390/diagnostics11020335
Chicago/Turabian Style
Gentile, Francesco, Matteo Ferro, Bartolomeo Della Ventura, Evelina La Civita, Antonietta Liotti, Michele Cennamo, Dario Bruzzese, Raffaele Velotta, and Daniela Terracciano.
2021. "Optimized Identification of High-Grade Prostate Cancer by Combining Different PSA Molecular Forms and PSA Density in a Deep Learning Model" Diagnostics 11, no. 2: 335.
https://doi.org/10.3390/diagnostics11020335
APA Style
Gentile, F., Ferro, M., Della Ventura, B., La Civita, E., Liotti, A., Cennamo, M., Bruzzese, D., Velotta, R., & Terracciano, D.
(2021). Optimized Identification of High-Grade Prostate Cancer by Combining Different PSA Molecular Forms and PSA Density in a Deep Learning Model. Diagnostics, 11(2), 335.
https://doi.org/10.3390/diagnostics11020335