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The effect of feature normalization methods in radiomics.

Aydin Demircioğlu
Published in: Insights into imaging (2024)
• The impact of feature normalization methods on radiomic models was measured. • Normalization methods performed similarly on average, but differed more strongly on some datasets. • Different methods led to different sets of selected features, impeding feature interpretation. • Model calibration was not largely affected by the normalization method.
Keyphrases
  • machine learning
  • deep learning
  • squamous cell carcinoma
  • magnetic resonance imaging
  • magnetic resonance
  • computed tomography
  • lymph node metastasis
  • neural network