SepVAE: a contrastive VAE to separate pathological patterns from healthy ones

arXiv:2307.06206v2 Announce Type: replace
Abstract: Contrastive Analysis VAE (CA-VAEs) is a family of Variational auto-encoders (VAEs) that aims at separating the common factors of variation between a background dataset (BG) (i.e., healthy subjects) and a target dataset (TG) (i.e., patients) from the ones that only exist in the target dataset. To do so, these methods separate the latent space into a set of salient features (i.e., proper to the target dataset) and a set of common features (i.e., exist in …

arxiv cs.cv patterns stat.ml type vae