A Sum-Product Network fitted to a VAE latent space acts as both density model and classifier, producing counterfactual chest X-ray images that preserve the original anatomy while altering the predicted diagnosis.
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Counterfactual Explanations in Medical Imaging: Exploring SPN-Guided Latent Space Manipulation
A Sum-Product Network fitted to a VAE latent space acts as both density model and classifier, producing counterfactual chest X-ray images that preserve the original anatomy while altering the predicted diagnosis.