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Feature Reduction and Selection: a Study on their Importance in the Context of Radiomics

Author:Annika Liebgott  Janik Steyer-Ege  Tobias Hepp  Thomas Küstner  Konstantin Nikolaou  Bin Yang  Sergios Gatidis  

Institution:King's College London/St Thomas' Hospital  University Hospital of Tuebingen  University of Stuttgart  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Machine Learning for Prediction & Image Analysis  

Program Number:4869  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 151  

Reinforcement Learning for Automated Reference-free MR Image Quality Assessment