Tekkd NG
Pneumonia Detection System
In Training

Pneumonia Detection System

Expected completion: Q2 2024
Team: Dr. Sarah Johnson, Michael Chen, Dr. Robert Williams

Our Pneumonia Detection System uses deep learning algorithms to analyze chest X-ray images and identify signs of pneumonia with high accuracy. The system is currently being trained on a diverse dataset of X-ray images to ensure it can detect pneumonia across different patient demographics and varying stages of the disease.

Key features:

- High accuracy detection of pneumonia markers in chest X-rays

- Rapid analysis to support timely diagnosis

- Heatmap visualization to highlight areas of concern

- Integration capabilities with existing hospital PACS systems

The system is designed to serve as an assistant to radiologists, helping them prioritize cases and providing a second opinion to improve diagnostic accuracy. Early tests show promising results with detection rates comparable to experienced radiologists.

Technologies Used

TensorFlowPyTorchComputer VisionCNNTransfer Learning