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Gentile F, Ferro M, Della Ventura B, La Civita E, Liotti A, Cennamo M, Bruzzese D, Velotta R, Terracciano D. Reply to Jue et al. Value of MRI to Improve Deep Learning Model That Identifies High-Grade Prostate Cancer. Comment on “Gentile et al. 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”. Diagnostics. 2021; 11(7):1214. https://doi.org/10.3390/diagnostics11071214

Gentile, Francesco, Matteo Ferro, Bartolomeo Della Ventura, Evelina La Civita, Antonietta Liotti, Michele Cennamo, Dario Bruzzese, Raffaele Velotta, and Daniela Terracciano. 2021. "Reply to Jue et al. Value of MRI to Improve Deep Learning Model That Identifies High-Grade Prostate Cancer. Comment on “Gentile et al. 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”" Diagnostics 11, no. 7: 1214. https://doi.org/10.3390/diagnostics11071214

Gentile, F., Ferro, M., Della Ventura, B., La Civita, E., Liotti, A., Cennamo, M., Bruzzese, D., Velotta, R., & Terracciano, D. (2021). Reply to Jue et al. Value of MRI to Improve Deep Learning Model That Identifies High-Grade Prostate Cancer. Comment on “Gentile et al. 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”. Diagnostics, 11(7), 1214. https://doi.org/10.3390/diagnostics11071214