In their comment "Value of MRI to Improve Deep Learning Model That Identifies High-Grade Prostate Cancer [...].
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” / Gentile, F.; Ferro, M.; Ventura, B. D.; La Civita, E.; Liotti, A.; Cennamo, M.; Bruzzese, D.; Velotta, R.; Terracciano, D.. - In: DIAGNOSTICS. - ISSN 2075-4418. - 11:7(2021), p. 1214. [10.3390/diagnostics11071214]
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”
La Civita E.;Liotti A.;Cennamo M.;Bruzzese D.;Velotta R.;Terracciano D.
2021
Abstract
In their comment "Value of MRI to Improve Deep Learning Model That Identifies High-Grade Prostate Cancer [...].File in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
diagnostics-11-01214-2021_reply.pdf
accesso aperto
Tipologia:
Documento in Post-print
Licenza:
Dominio pubblico
Dimensione
181.77 kB
Formato
Adobe PDF
|
181.77 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
