Deep Learning-based Recalibration of the CUETO and EORTC Prediction Tools for Recurrence and Progression of Non–muscle-invasive Bladder Cancer
Author:
Funder
Narodowe Centrum Nauki
Publisher
Elsevier BV
Subject
Urology,Radiology, Nuclear Medicine and imaging,Oncology,Surgery
Reference10 articles.
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2. Risk stratification tools and prognostic models in non–muscle-invasive bladder cancer: a critical assessment from the European Association of Urology Non–muscle-invasive Bladder Cancer Guidelines Panel;Soukup;Eur Urol Focus,2020
3. Validation of EORTC, CUETO, and EAU risk stratification in prediction of recurrence, progression, and death of patients with initially non–muscle-invasive bladder cancer (NMIBC): a cohort analysis;Jobczyk;Cancer Med,2020
4. Predicting non-muscle invasive bladder cancer recurrence and progression in patients treated with bacillus Calmette-Guerin: the CUETO scoring model;Fernandez-Gomez;J Urol,2009
5. Predicting recurrence and progression in individual patients with stage Ta T1 bladder cancer using EORTC risk tables: a combined analysis of 2596 patients from seven EORTC trials;Sylvester;Eur Urol,2006
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