Automatic PI-RADSv2.0 assessment based on manually specified features improves inter-rater agreement among radiologists in the diagnosis of prostate cancer

Piotr Sobecki, Katarzyna Dziedzic, Rafał Jóźwiak, Katarzyna Sklinda

2021 W: Legal and technical aspects of artificial intelligence / red. Luigi Lai, Marek Świerczyński. - Warszawa : Uniwersytet Kardynała Stefana Wyszyńskiego w Warszawie. - s. 311-322

Automatic PI-RADSv2.0 assessment based on manually specified features improves inter-rater agreement among radiologists in the diagnosis of prostate cancerhttps://opi.org.pl/opi_publication/automatic-pi-radsv2-0-assessment-based-on-manually-specified-features-improves-inter-rater-agreement-among-radiologists-in-the-diagnosis-of-prostate-cancer/