Measuring the bias of incorrect application of feature selection when using cross-validation in radiomics

Abstract 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,...

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Autor principal: Aydin Demircioğlu
Formato: article
Lenguaje:EN
Publicado: SpringerOpen 2021
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Acceso en línea:https://doaj.org/article/e05fc95b049c4fdc8f28b17d1566ac18
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