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”

Francesco Gentile; Matteo Ferro; Bartolomeo Della Ventura; Evelina La Civita; Antonietta Liotti; Michele Cennamo; Dario Bruzzese; Raffaele Velotta; Daniela Terracciano

doi: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”

Francesco Gentile, Matteo Ferro, Bartolomeo Della Ventura, Evelina La Civita, Antonietta Liotti, Michele Cennamo, Dario Bruzzese, Raffaele Velotta, Daniela Terracciano

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	1214
Journal	Diagnostics
Volume	11
Issue number	7
DOIs	https://doi.org/10.3390/diagnostics11071214
Publication status	Published - Jul 1 2021

ASJC Scopus subject areas

Clinical Biochemistry

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10.3390/diagnostics11071214

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Gentile, F., Ferro, M., Ventura, B. D., 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

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, Francesco; Ferro, Matteo; Ventura, Bartolomeo Della et al.

In: Diagnostics, Vol. 11, No. 7, 1214, 01.07.2021.

Research output: Contribution to journal › Article › peer-review

Gentile, F, Ferro, M, Ventura, BD, 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, vol. 11, no. 7, 1214. https://doi.org/10.3390/diagnostics11071214

Gentile F, Ferro M, Ventura BD, La Civita E, Liotti A, Cennamo M et al. 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 Jul 1;11(7):1214. doi: 10.3390/diagnostics11071214

Gentile, Francesco ; Ferro, Matteo ; Ventura, Bartolomeo Della et al. / 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”. In: Diagnostics. 2021 ; Vol. 11, No. 7.

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ASJC Scopus subject areas

Access to Document

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