CNNs trained only on diffusion-generated synthetic medical images achieved 72-91% accuracy on real test images across three domains, but no comparison to models trained on real data was performed.
Score-based diffusion models for accelerated mri
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Diffusion-Based Approaches in Medical Image Generation and Analysis
CNNs trained only on diffusion-generated synthetic medical images achieved 72-91% accuracy on real test images across three domains, but no comparison to models trained on real data was performed.