Fig. 1

Unsupervised medical anomaly detection framework: we train WGAN-GP w/\(\ell _1\) loss on 3 healthy brain axial MRI slices to reconstruct the next 3 ones, and test it on both unseen healthy and abnormal scans to classify them according to average \(\ell _2\) loss per scan