← Back to Projects

AI Lung Infection Detection

Deep learning diagnostics for chest X-ray screening and analysis.

Project Summary

This repository provides a deep learning framework designed to analyze chest X-ray images, providing automated detection of key lung infection markers. Developed to assist radiological workflows, the model uses advanced convolutional pathways to highlight regions of interest associated with various respiratory infections.

Methodology

  • Pre-trained on large-scale, annotated medical imaging databases.
  • Optimized inference pipelines for rapid hospital deployment architectures.
  • Implemented utilizing TensorFlow and Keras, mapped for real-world reliability tests.

Usage in Myanmar

This project has been utilized for medical research and educational demonstrations across various tech symposiums and healthcare AI talks, establishing a baseline for localized medical computer vision applications.


Related Internal Research