Deep neural network for water/fat separation: Supervised training, unsupervised training, and no training.
Academic Article
Overview
abstract
PURPOSE: To use a deep neural network (DNN) for solving the optimization problem of water/fat separation and to compare supervised and unsupervised training. METHODS: T RESULTS: T CONCLUSION: The water/fat separation problem can be solved using unsupervised deep neural networks.
