A diffusion-based inpainting pipeline generates synthetic image-label pairs for medical segmentation and improves dice scores under limited labels on four datasets.
Extracting training data from diffu- sion models
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Inpainting is All You Need: A Diffusion-based Augmentation Method for Semi-supervised Medical Image Segmentation
A diffusion-based inpainting pipeline generates synthetic image-label pairs for medical segmentation and improves dice scores under limited labels on four datasets.