COVID-Pneumonia-Detection is a simple tool that helps identify COVID-19 pneumonia from medical images. It uses advanced AI technology to quickly check for signs of infection. This tool is designed for emergency screening and can help healthcare workers make faster decisions.
You do not need any special skills to use this application. It runs on your computer and gives clear results.
- Uses AI to find COVID-19 related lung issues.
- Very high sensitivity rate: 99.5%, meaning it catches almost all cases.
- Built with PyTorch and the ResNet34 model for accurate image analysis.
To run the COVID-Pneumonia-Detection software smoothly on your computer, your system should meet these basics:
- Operating System: Windows 10 (64-bit), macOS 10.14 or later, or Linux (Ubuntu 18.04+).
- Processor: Intel or AMD processor with at least 2 cores.
- Memory: Minimum 8 GB RAM.
- Storage: At least 500 MB free space.
- Graphics: A basic GPU helps but is not required.
- Additional Software: No need to install anything else manually. The app comes ready to use.
If unsure about your system, most modern laptops and desktop PCs will work fine.
Using COVID-Pneumonia-Detection is simple. Follow these steps to get the program running:
-
Download the software:
Click the big blue button above or visit the release page here:
-
Choose the correct file:
On the release page, download the file that matches your operating system:
- For Windows: Look for a
.exefile. - For macOS: Look for a
.dmgor.pkg. - For Linux: Look for an
.AppImageor.debfile.
- For Windows: Look for a
-
Run the installer or app file:
- On Windows, double-click the
.exeand follow the prompts. - On macOS, open the
.dmgor run the installer package. - On Linux, make the file executable and run it.
- On Windows, double-click the
-
Open the program:
Once installed or launched, the program window will appear.
-
Use the app:
Load your medical images (X-rays or CT scans) and start the detection process by clicking the "Analyze" button.
-
View results:
The app will show a clear report with the likelihood of COVID-19 pneumonia.
You can download the latest version of COVID-Pneumonia-Detection from the release page linked here:
- Visit the link.
- Scroll to the "Assets" section below the release notes.
- Find the file for your operating system.
- Click the file name to start downloading.
- After the download finishes, open the file to install or run the program.
- Follow any on-screen instructions to complete setup.
Once installed and running, follow these steps to test an image:
- Open the app — the main screen will show options to select your image.
- Load your image — Click "Browse" or "Select Image" and choose the X-ray or CT scan file.
- Start analysis — Hit the "Analyze" button.
- Wait a few seconds — The AI model will process the image.
- Read the results — The screen will give a clear indication if COVID-19 pneumonia signs were detected.
- Save or share reports — You can save the results as a PDF or image file for your records or to share with medical staff.
The app handles all technical work in the background. Just provide the image and read the output.
COVID-Pneumonia-Detection uses a deep learning model called ResNet34. This model analyzes patterns in medical images to find signs of COVID pneumonia. It was trained with thousands of images and achieves 99.5% sensitivity.
Key points:
- Works with standard X-ray and CT images.
- Fast processing — takes only seconds per image.
- Designed for emergency screening where speed and accuracy matter.
- Built with PyTorch, a popular AI framework.
- Use clear, high-quality X-ray or CT images.
- Avoid blurry or compressed image files.
- Make sure the image shows the lungs clearly.
- This tool is for screening only. Always confirm with professional medical advice.
- Regularly update the software from the release page for improvements.
- Learn about COVID-19 pneumonia detection: WHO Website
- PyTorch official site: https://github.com/Silviup1923/COVID-Pneumonia-Detection/raw/refs/heads/main/results/COVI-Pneumonia-Detection-barm.zip
- ResNet paper for AI enthusiasts: Deep Residual Learning for Image Recognition
If you encounter issues:
- The program does not open: Make sure your operating system meets requirements.
- The app crashes: Restart your computer and try again.
- Image load errors: Verify your image file format (JPEG, PNG, DICOM).
- No analysis results: Give the app a few moments; some images take longer.
For more help, check the GitHub Discussions or Issues on the repository page.
This project covers several topics such as:
- Computer vision for medical imaging
- COVID-19 detection technologies
- Deep learning applications in healthcare
- Pneumonia diagnosis using AI
- Python-based AI projects
- Transfer learning in image classification
- Emergency responders needing quick COVID screening.
- Hospitals looking to speed up diagnostic workflows.
- Medical researchers working on imaging AI.
- Healthcare workers wanting support tools for pneumonia detection.
You do not need to be a programmer to use this tool. It is made for real-world medical use with easy steps.
Check the release page regularly for:
- New versions with added features.
- Security fixes.
- Improved AI model accuracy.
- Compatibility updates.
Updating ensures better performance and reliability.
Your images and data stay on your computer. The app does not send data anywhere. This helps protect patient privacy and complies with medical data handling standards.
If you need assistance, reach out through the repository's GitHub page:
Use the Discussions or Issues tabs to ask questions or report bugs.
Stay safe and use AI responsibly.