A text- and mask-conditioned diffusion model can synthesize training images for MRI modalities without masks, boosting downstream segmentation accuracy compared with augmentation and translation baselines.
A vision–language foundation model for the generation of realistic chest x-ray images
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MRGen: Segmentation Data Engine for Underrepresented MRI Modalities
A text- and mask-conditioned diffusion model can synthesize training images for MRI modalities without masks, boosting downstream segmentation accuracy compared with augmentation and translation baselines.