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Evaluation of the dependence of radiomic features on the machine learning model
37
Zitationen
1
Autoren
2022
Jahr
Abstract
Feature relevance in radiomics strongly depends on the model used, and statistically similar models will generally identify different features as relevant. Considering features selected by a single model is misleading, and it is often not possible to directly determine whether such features are candidate biomarkers.
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