Prototype Learning

Interpretable Alzheimer’s Disease Classification Via a Contrastive Diffusion Autoencoder
A diffusion autoencoder coupled with a contrastive loss is used to produce accurate and interpretable MR image classifications of Alzheimer’s Disease.
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