Attri-VAE: attribute-based interpretable representations of medical images with variational autoencoders

1 code implementation • 20 Mar 2022 • Irem Cetin, Maialen Stephens, Oscar Camara, Miguel Angel Gonzalez Ballester

In this paper, we propose a VAE approach, the Attri-VAE, that includes an attribute regularization term to associate clinical and medical imaging attributes with different regularized dimensions in the generated latent space, enabling a better-disentangled interpretation of the attributes.

Attribute Disentanglement