Advancing noninvasive glioma classification with diffusion radiomics: Exploring the impact of signal intensity normalization.

Martha Foltyn-DumitruMarianne SchellFelix SahmTobias KesslerWolfgang Wick Martin BendszusAditya RastogiGianluca Brugnara Phillipp Vollmuth

Published in: Neuro-oncology advances (2024)

ADC radiomics can enhance the performance of conventional MRI-based radiomic models, particularly for IDH-wild-type glioma. The benefit of intensity normalization of ADC maps depends on the type and context of the used data.

Keyphrases

wild type
contrast enhanced
diffusion weighted
diffusion weighted imaging
magnetic resonance imaging
high intensity
magnetic resonance
computed tomography
lymph node metastasis
machine learning
deep learning
electronic health record
big data
low grade
artificial intelligence
data analysis