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Evaluation of the dependence of radiomic features on the machine learning model

Abstract Background In radiomic studies, several models are often trained with different combinations of feature selection methods and classifiers. The features of the best model are usually considered relevant to the problem, and they represent potential biomarkers. Features selected from statistic...

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Váldodahkki: Aydin Demircioğlu
Materiálatiipa: Artigo
Giella:Inglês
Almmustuhtton: SpringerOpen 2022-02-01
Ráidu:Insights into Imaging
Fáttát:
Liŋkkat:https://doi.org/10.1186/s13244-022-01170-2
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