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Evaluation of the dependence of radiomic features on the machine learning model
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 statistically sim...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer International Publishing
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8873309/ https://www.ncbi.nlm.nih.gov/pubmed/35201534 http://dx.doi.org/10.1186/s13244-022-01170-2 |