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🎉Introducing RoentGen, a generative vision-language foundation model based on #StableDiffusion, fine-tuned on a large chest x-ray and radiology report dataset, and controllable through text prompts!

@PierreChambon6 @Dr_ASChaudhari @curtlanglotz

🧵#Radiology #AI #StanfordAIMI Text-conditioned synthesis of CXR. Each image was hand-picke
#RoentGen is able to generate a wide variety of radiological chest x-ray (CXR) findings with fidelity and high level of detail. Of note, this is without being explicitly trained on class labels. Synthetic images created by prompting a fine-tuned model for
Built on previous work, #RoentGen is a fine-tuned latent diffusion model based on #StableDiffusion. Free-form medical text prompts are used to condition a denoising process, resulting in high-fidelity yet diverse CXR, improving on a typical limitation of GAN-based methods.
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