Review and Prospect: Deep Learning in Nuclear Magnetic Resonance Spectroscopy.

Dicheng Chen Zi Wang Di Guo Vladislav Orekhov Xiaobo Qu

Published in: CoRR (2020)

Keyphrases

deep architectures
deep learning
magnetic resonance spectroscopy
unsupervised learning
prostate cancer
unsupervised feature learning
machine learning
mental models
weakly supervised
computer vision
image processing
image analysis
generative model