🦴 OsteoLogic: Clinical Fracture Detection

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.

🔍 Model Details

• Input shape: 224×224×3
• Classes: Fracture / No Fracture
• Format: .safetensors
• Framework: Keras

🚀 Usage

Upload a radiograph via the web interface. The model will preprocess, predict, and return a visual overlay with classification.

🧠 Deployment Philosophy

This model is part of a doctrine-driven pipeline focused on:

• Reproducibility
• Minimal UI friction
• Full memory restoration
• Version clarity

📦 Files

• osteologic.safetensors: Model weights
• config.json: Architecture metadata
• app.py: Gradio interface
• requirements.txt: Pinned dependencies
• runtime.txt: Python version for Hugging Face Spaces

🧪 Clinical Context

Designed for orthopedic screening workflows. Not intended for diagnostic use without clinical oversight.