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Erschienen in:
2021 | OriginalPaper | Buchkapitel
Abstract: Data Augmentation for Information Transfer
Why Controlling for Confounding Effects in Radiomic Studies is Important and How to do it
verfasst von : Michael Götz, Klaus Maier-Hein
Erschienen in: Bildverarbeitung für die Medizin 2021
Verlag: Springer Fachmedien Wiesbaden
The major goal of radiomics studies is the identification of predictive and reliable markers. It is, therefore, crucial to account for unwanted confounding effects that affect the radiomic features like scanning noise, annotator bias, or the used imaging device and parameter. Usually, these confounding effects are not sufficiently represented in the main cohort of radiomics studies and consequently are investigated in smaller side-studies.