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MedVision: Medical Vision AI Framework

๐Ÿ“‘ Paper | ๐ŸŒ Project Page | ๐Ÿ’พ Released Resources | ๐Ÿ“ฆ Repo

This is the processed dataset page for the MedVision resources collection on Huggingface.

Dataset

Dataset Link
MedVision-XRay-Processed ๐Ÿค—

Please also check the raw data before our processing if you are interested: toolevalxm/MedVision-XRay-Raw.

Models

Base Model / Training MedVision MedVision++
LLaVA-Med 7B ๐Ÿค— ๐Ÿค—
BiomedCLIP ๐Ÿค— ๐Ÿค—

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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