Computer-Aided Diagnosis Improves the Detection of Clinically Significant Prostate Cancer on Multiparametric-MRI: A Multi-Observer Performance Study Involving Inexperienced Readers

Recently, Computer Aided Diagnosis (CAD) systems have been proposed to help radiologists in detecting and characterizing Prostate Cancer (PCa). However, few studies evaluated the performances of these systems in a clinical setting, especially when used by non-experienced readers. The main aim of thi...

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Detalles Bibliográficos
Autores principales: Giannini, Valentina, Mazzetti, Simone, Cappello, Giovanni, Doronzio, Valeria Maria, Vassallo, Lorenzo, Russo, Filippo, Giacobbe, Alessandro, Muto, Giovanni, Regge, Daniele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8227686/
https://www.ncbi.nlm.nih.gov/pubmed/34071215
http://dx.doi.org/10.3390/diagnostics11060973

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8227686/
https://www.ncbi.nlm.nih.gov/pubmed/34071215
http://dx.doi.org/10.3390/diagnostics11060973

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