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MedVision: Medical Vision AI Framework
๐ Paper | ๐ Project Page | ๐พ Released Resources | ๐ฆ Repo
This is the processed dataset page for the MedVision resources collection on Huggingface.
Dataset
| Dataset | Link |
|---|---|
| MedVision-XRay-Processed | ๐ค |
Please also check the raw data before our processing if you are interested: toolevalxm/MedVision-XRay-Raw.
Models
Introduction
Medical image analysis requires both accurate visual understanding and clinically meaningful text generation. We adopt a fully LLM-based approach for synthesizing all the diagnostic annotations using Meta's Llama-3.1-70B-Instruct model, which provides excellent medical reasoning capabilities at reasonable computational cost.
The synthesis pipeline takes the raw X-ray features and generates detailed clinical annotations including:
- Anatomical region identification
- Pathology detection and classification
- Severity assessment
- Differential diagnosis suggestions
*Due to patient privacy requirements, we only release the processed annotations (this page) of the full dataset.
License
The license for this dataset is CC0.
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