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language: |
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- en |
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# 🦴 OsteoLogic: Clinical Fracture Detection |
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OsteoLogic is a custom computer vision model designed for radiographic fracture detection. It uses a Keras-based architecture and is deployed with `.safetensors` for secure, memory-efficient inference. |
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## 🔍 Model Details |
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- **Input shape**: 224×224×3 |
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- **Classes**: Fracture / No Fracture |
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- **Format**: `.safetensors` |
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- **Framework**: Keras |
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## 🚀 Usage |
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Upload a radiograph via the web interface. The model will preprocess, predict, and return a visual overlay with classification. |
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## 🧠 Deployment Philosophy |
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This model is part of a doctrine-driven pipeline focused on: |
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- Reproducibility |
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- Minimal UI friction |
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- Full memory restoration |
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- Version clarity |
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## 📦 Files |
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- `osteologic.safetensors`: Model weights |
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- `config.json`: Architecture metadata |
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- `app.py`: Gradio interface |
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- `requirements.txt`: Pinned dependencies |
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- `runtime.txt`: Python version for Hugging Face Spaces |
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## 🧪 Clinical Context |
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Designed for orthopedic screening workflows. Not intended for diagnostic use without clinical oversight. |
