Separating Pathological Patterns from Healthy Factors in Medical Imaging using a Contrastive Variational Autoencoder (SepVAE)

SepVAE, a contrastive variational autoencoder, effectively separates the common factors of variation between a background (healthy) dataset and a target (pathological) dataset from the target-specific factors of variation.