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--- |
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title: HakimAi |
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emoji: 🏥 |
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colorFrom: blue |
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colorTo: green |
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sdk: gradio |
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sdk_version: "4.40.0" |
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app_file: app.py |
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pinned: false |
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--- |
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# HakimAi |
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A medical imaging analysis platform powered by BiomedParse, offering comprehensive biomedical image analysis across multiple modalities. |
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## Features |
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- **Multi-modal Analysis**: Support for various medical imaging types including X-ray, CT, MRI, pathology, and more |
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- **Advanced Detection**: Automated identification and segmentation of medical objects and conditions |
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- **Interactive Interface**: User-friendly Gradio interface for easy image upload and analysis |
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- **Powered by BiomedParse**: Utilizes Microsoft's BiomedParse foundation model for accurate medical image analysis |
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## Usage |
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1. Upload your medical image |
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2. Select the analysis type |
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3. View the results including segmentation masks and detection results |
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## Technical Details |
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This space uses: |
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- BiomedParse foundation model for medical image analysis |
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- Gradio for the web interface |
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- Git LFS for handling large files |
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- Python 3.9+ environment |
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## Model Information |
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Based on BiomedParse, capable of: |
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- Segmentation |
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- Detection |
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- Recognition across nine biomedical modalities |
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference |
