Login / Signup

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

Aydin Demircioğlu
Published in: Insights into imaging (2021)
Incorrect application of feature selection and cross-validation can lead to highly biased results for radiomic datasets.
Keyphrases
  • machine learning
  • deep learning
  • magnetic resonance imaging
  • computed tomography
  • contrast enhanced
  • magnetic resonance
  • neural network