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Prostate Cancer Risk Assessment using Fully Automatic Deep Learning in MRI: Integration with Clinical Data using Logistic Regression Models

Author:Adrian Schrader Nils Netzer Magdalena Görtz Constantin Schwab Markus Hohenfellner Heinz-Peter Schlemmer David Bonekamp

Session Type:Digital Poster

Session Date:Tuesday, 10 May 2022

Topic:Module 21: Machine Learning and Artificial Intelligence

Session Name:Machine Learning/Artificial Intelligence: Clinical Application II

Program Number:1514

Room Session:Exhibition Hall:S8 & S9

Institution:German Cancer Research Center University of Heidelberg Medical Center Heidelberg University Medical School

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