A diffusion-based generative model for chest X-rays, trained on 960k image-report pairs, improves downstream classification, segmentation, detection, and fairness when its outputs are used for data augmentation or pretraining.
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A Generative Foundation Model for Chest Radiography
A diffusion-based generative model for chest X-rays, trained on 960k image-report pairs, improves downstream classification, segmentation, detection, and fairness when its outputs are used for data augmentation or pretraining.