Gentile, F.; La Civita, E.; Ventura, B.D.; Ferro, M.; Bruzzese, D.; Crocetto, F.; Tennstedt, P.; Steuber, T.; Velotta, R.; Terracciano, D.
A Neural Network Model Combining [-2]proPSA, freePSA, Total PSA, Cathepsin D, and Thrombospondin-1 Showed Increased Accuracy in the Identification of Clinically Significant Prostate Cancer. Cancers 2023, 15, 1355.
https://doi.org/10.3390/cancers15051355
AMA Style
Gentile F, La Civita E, Ventura BD, Ferro M, Bruzzese D, Crocetto F, Tennstedt P, Steuber T, Velotta R, Terracciano D.
A Neural Network Model Combining [-2]proPSA, freePSA, Total PSA, Cathepsin D, and Thrombospondin-1 Showed Increased Accuracy in the Identification of Clinically Significant Prostate Cancer. Cancers. 2023; 15(5):1355.
https://doi.org/10.3390/cancers15051355
Chicago/Turabian Style
Gentile, Francesco, Evelina La Civita, Bartolomeo Della Ventura, Matteo Ferro, Dario Bruzzese, Felice Crocetto, Pierre Tennstedt, Thomas Steuber, Raffaele Velotta, and Daniela Terracciano.
2023. "A Neural Network Model Combining [-2]proPSA, freePSA, Total PSA, Cathepsin D, and Thrombospondin-1 Showed Increased Accuracy in the Identification of Clinically Significant Prostate Cancer" Cancers 15, no. 5: 1355.
https://doi.org/10.3390/cancers15051355
APA Style
Gentile, F., La Civita, E., Ventura, B. D., Ferro, M., Bruzzese, D., Crocetto, F., Tennstedt, P., Steuber, T., Velotta, R., & Terracciano, D.
(2023). A Neural Network Model Combining [-2]proPSA, freePSA, Total PSA, Cathepsin D, and Thrombospondin-1 Showed Increased Accuracy in the Identification of Clinically Significant Prostate Cancer. Cancers, 15(5), 1355.
https://doi.org/10.3390/cancers15051355
