A diffusion-based counterfactual augmentation framework generates boundary-adjacent knee X-rays and fine-tunes the classifier on them, producing modest accuracy gains in Kellgren-Lawrence grading.
Discriminative regularized auto-encoder for early detection of knee osteoarthritis: Data from the Osteoarthritis Initiative,
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Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading
A diffusion-based counterfactual augmentation framework generates boundary-adjacent knee X-rays and fine-tunes the classifier on them, producing modest accuracy gains in Kellgren-Lawrence grading.