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Measuring the bias of incorrect application of feature selection when using cross-validation in radiomics
BACKGROUND: Many studies in radiomics are using feature selection methods to identify the most predictive features. At the same time, they employ cross-validation to estimate the performance of the developed models. However, if the feature selection is performed before the cross-validation, data lea...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer International Publishing
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8613324/ https://www.ncbi.nlm.nih.gov/pubmed/34817740 http://dx.doi.org/10.1186/s13244-021-01115-1 |