Deep Neural Networks Outperform the CAPRA Score in Predicting Biochemical Recurrence After Prostatectomy

Deep Neural Networks Outperform the CAPRA Score in Predicting Biochemical Recurrence After Prostatectomy

BackgroundUse of predictive models for the prediction of biochemical recurrence (BCR) is gaining attention for prostate cancer (PCa). Specifically, BCR occurs in approximately 20–40% of patients five years after radical prostatectomy (RP) and the ability to predict BCR may help clinicians to make be...

Full description

Bibliographic Details
Main Authors: Paul Sargos, Nicolas Leduc, Nicolas Giraud, Giorgio Gandaglia, Mathieu Roumiguié, Guillaume Ploussard, Francois Rozet, Michel Soulié, Romain Mathieu, Pierre Mongiat Artus, Tamim Niazi, Vincent Vinh-Hung, Jean-Baptiste Beauval
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-02-01
Series:Frontiers in Oncology
Subjects:
prostate cancer
machine learning
predictive
recurrence
biochemical
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2020.607923/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2020.607923/full

Similar Items