Fig. 3. Illustration of workflows for the different techniques exemplified using Magnetic Resonance Imaging (MRI) data.

a Data augmentation approach using stochastic and image processing methodology. b Cross-domain Transfer Learning applying low-level filters learnt by a Convolutional Neural Network (CNN) from the Imagenet database. c Intra-domain Transfer Learning deriving a statistical embedding from a large database of MRI images employing a Generative Adversarial Network (GAN)