Comparative Performance of Deep Learning and Radiologists for the Diagnosis and Localization of Clinically Significant Prostate Cancer at MRI: A Systematic Review

Background: Deep learning (DL)-based models have demonstrated an ability to automatically diagnose clinically significant prostate cancer (PCa) on MRI scans and are regularly reported to approach expert performance. The aim of this work was to systematically review the literature comparing deep lear...

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Detalles Bibliográficos
Autores principales: Roest, Christian, Fransen, Stefan J, Kwee, Thomas C, Yakar, Derya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Systematic Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9605624/
https://www.ncbi.nlm.nih.gov/pubmed/36294928
http://dx.doi.org/10.3390/life12101490

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9605624/
https://www.ncbi.nlm.nih.gov/pubmed/36294928
http://dx.doi.org/10.3390/life12101490

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