Quality of clinical brain tumor MR spectra judged by humans and machine learning tools.

Sreenath P KyathanahallyVictor MocioiuNuno Pedrosa de BarrosJohannes SlotboomAlan J WrightMargarida Julià-SapéCarles ArúsPhilippe Schneiter

Published in: Magnetic resonance in medicine (2017)

Our results suggest that feature space should be relatively large for the case of MR tumor spectra and that three-class labels may be beneficial for AQC. The best AQC algorithm showed a performance in rejecting spectra that was comparable to that of a panel of human expert spectroscopists. Magn Reson Med 79:2500-2510, 2018. © 2017 International Society for Magnetic Resonance in Medicine.

Keyphrases

machine learning
magnetic resonance
contrast enhanced
density functional theory
deep learning
endothelial cells
artificial intelligence
big data
induced pluripotent stem cells
clinical practice
quality improvement
neural network