text2ct-weights

1
license:apache-2.0
by
dmolino
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OTHER
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Quick Summary

AI model with specialized capabilities.

Code Examples

Use these in the code release configs:text
### Training Data (for these weights)
- CT-RATE dataset (public on Hugging Face) for CT volumes and reports.

### Training Procedure (summary)
- CLIP3D trained for vision-language alignment on CT+reports.
- VAE checkpoint from https://github.com/Project-MONAI/tutorials/tree/main/generation/maisi.
- Diffusion UNet trained with rectified flow (RFlow) in latent space, conditioned on text embeddings.

### Evaluation
- See paper for quantitative and qualitative results.

### Further Information
- 1,000 generated CT scans are available at https://huggingface.co/datasets/dmolino/CT-RATE_Generated_Scans.

### Environmental Impact
- Not reported. Training used multi-GPU setup;.

### Citation
If you use these weights or code, please cite the paper:

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