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Abstract #2015

Impact of training size on deep learning performance in in vivo 1H MRS

Sungtak Hong1 and Jun Shen1
1National Institute of Mental Health, National Institutes of Health, Bethesda, MD, United States

Deep learning has found an increasing number of applications in MRS. Nevertheless, few studies have addressed the impact of training data size on deep learning performance. In this work, we used density matrix simulation to generate a very large training dataset (70,000 spectra). Then comprehensive comparison was performed to evaluate deep learning performance with different training data sizes.

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