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MedDiME: Efficient Latent Diffusion with Adaptive Masking for Medical Counterfactual Generation

Zeng, Yan et al.
arXiv (OAI Expanded) · Papers
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computer-vision-and-pattern-recognition
Medical counterfactual generation modifies images to change model predictions for interpretability. However, existing diffusion-based approaches are often prohibitively slow and memory-intensive, making them difficult to apply in high-resolution settings. Moreover, existing masking strategies are ti
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