no code implementations • 12 Dec 2018 • Jonathan Andersson, Håkan Ahlström, Joel Kullberg
Convolutional neural networks, more specifically 2D U-nets, were trained using 5-fold cross-validation with 1 or several echoes as input, using the squared difference between the output and the reference fat fraction maps as the loss function.
