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Letter to the Editor on “Comparative performance of fully-automated and semi-automated artificial intelligence methods for the detection of clinically significant prostate cancer on MRI: a systematic review”

Detalles Bibliográficos
Autores principales:	Bevilacqua, Alessandro, Mottola, Margherita
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer Vienna 2023
Materias:	Opinion
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10624779/ https://www.ncbi.nlm.nih.gov/pubmed/37923836 http://dx.doi.org/10.1186/s13244-023-01520-8

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