Recent progress in the convolutional neural network has provided new tools for signal processing and quantification. Magnetic Resonance Spectroscopy is a powerful quantitative tool, which allows notably to access lipid composition. We aim to design and evaluate a neural network for lipid MRS quantification using simulated data.
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