Dataset

AI-for-Healthcare-Project-using-NVIDIA-Jetson-Nano-2GB-Developer-kit

Infrastructure Oncology GPL-3.0 Local-First / Private
40 GitHub Stars
0 Open Issues
N/A Docker Support
2021-12-25 Last Updated

Technical Summary

This project uses Deep learning concept in detection of Various Deadly diseases. It can Detect 1) Lung Cancer 2) Covid-19 3)Tuberculosis 4) Pneumonia. It uses CT-Scan and X-ray Images of chest/lung in detecting the disease. It has a Accuracy between 50%-80%. It can take input in any Image format or through Live videos and provide accurate output results. solving core medical data engineering challenges. It processes clinical data inputs natively through its core repository architectures. Developers can implement and deploy this directly from the source repository.

💻 Quick Developer Integration

Embed or cite this asset in your research pipeline or GitHub README:

View on GitHub → Source Verified by OpenPHR Catalog
Student Fellowship Opportunity

🎓 Build World-Class Medical AI & Publish IEEE Research

Are you an ambitious student developer or researcher? Join the OpenPHR Digital Health & AI Fellowship led by Penn & MIT alumni to engineer publication-ready clinical AI portfolios.

Apply for Fellowship →

Similar Assets (Infrastructure)