🦴 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 weightsconfig.json: Architecture metadataapp.py: Gradio interfacerequirements.txt: Pinned dependenciesruntime.txt: Python version for Hugging Face Spaces
🧪 Clinical Context
Designed for orthopedic screening workflows. Not intended for diagnostic use without clinical oversight.
