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A Resource-Efficient Approach to Text-Conditional Chest X-ray Generation Using Latent Diffusion Models

2025-06-23

Abstract excerpt

<h4>Background: </h4> Current medical image generation models typically require substantial computational resources, creating practical barriers for many research institutions. Recent diffusion models achieve notable results but demand multiple high-end GPUs and large datasets, limiting accessibility and reproducibility in medical AI research. <h4>Methods:</h4> We present a resource-efficient latent diffusion mode...

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Literature Corpus work
ab64d7d7-5551-534d-934f-aa9cf09d6373
DOI
10.20944/preprints202506.1783.v1
Open publication

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A Resource-Efficient Approach to Text-Conditional Chest X-ray Generation Using Latent Diffusion ModelsDOI 10.20944/preprints202506.1783.v1
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