Mitigation of noise-induced bias of PET radiomic features.

Ananthi Somasundaram David Vállez GarcíaElisabeth PfaehlerJoyce van SluisRudi A J O DierckxElisabeth G E de VriesRonald Boellaard

Published in: PloS one (2022)

To have a predictive value, radiomic features should reflect tumor characteristics and be minimally affected by noise. The present study has shown that it is possible to correct for noise-induced bias, at least in a subset of the features, using a regression model based on the local image noise estimates.

Keyphrases

air pollution
high glucose
diabetic rats
drug induced
deep learning
pet imaging