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

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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Bibliographic Details
Main Authors: Valentina Giannini, Simone Mazzetti, Giovanni Cappello, Valeria Maria Doronzio, Lorenzo Vassallo, Filippo Russo, Alessandro Giacobbe, Giovanni Muto, Daniele Regge
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Diagnostics
Subjects:
computer aided diagnosis
prostate cancer
artificial intelligence
assisted reading
Online Access:https://www.mdpi.com/2075-4418/11/6/973

Internet

https://www.mdpi.com/2075-4418/11/6/973

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