MP31-02 MACHINE LEARNING OUTPERFORM TRADITIONAL APPROACHES IN PREDICTING CLINICALLY SIGNIFICANT PROSTATE CANCER.

Autor:	Ordones, Flavio Vasconcelos, Vermeulen, Lodewikus, Hooshyari, Ali, Scholtz, David, Kawano, Paulo, Modelli de Andrade, Gustavo, Barros, Abner, Gilling, Peter
Předmět:	MACHINE learning PROSTATE cancer MAGNETIC resonance imaging
Zdroj:	Journal of Urology; 2024 Supplement 5, Vol. 211, pe503-e503, 1p
Databáze:	Supplemental Index
Externí odkaz:	Zobrazit plný text záznamu