This application helps classify kidney diseases using computer analysis of CT scan images. It uses machine learning methods like SVM, logistic regression, decision trees, and deep learning with CNN. You can see how well the detection works with charts and graphs inside the software.
You do not need any special technical skills to use this program. It is designed to be easy to run on Windows with a few simple steps.
To run this software smoothly on your Windows computer, make sure your system meets these basic requirements:
- Windows 10 or later (64-bit preferred)
- At least 8 GB RAM
- 2 GB of free disk space
- Internet connection for initial download
- A modern processor (Intel i3 or equivalent minimum)
If your computer meets these, the software will run without problems.
This guide will help you download, install, and open the application on your Windows PC.
Go to the main download page on GitHub by clicking the big button below:
This link will take you to the repository page where you can find the latest version of the software.
- On the GitHub page, look for the "Releases" section on the right or top menu.
- Click on the latest release version (should have a date and version number).
- In the release details, find the Windows executable file (usually ending with
.exe). It might be named something likeCT-Kidney-Classification-Setup.exe.
Click on the .exe file to download it to your computer. Save it somewhere easy to find, like your Desktop or Downloads folder.
Once you have the installer file on your computer, follow these steps:
- Double-click the
.exefile you downloaded. - A setup window will open. Follow the on-screen instructions:
- Click "Next" to continue through the setup.
- Choose the installation folder or accept the default location.
- Allow the installer to create shortcuts if prompted.
- After the installation finishes, click "Finish" to close the setup window.
To start using the application:
- Locate the shortcut on your Desktop or open the Start menu and find "CT-Kidney-Classification" in the list.
- Double-click the app icon once.
- The software will open a window where you can upload CT scan images and start analyzing them.
The software interface is simple to follow:
- Upload Images: Click the "Upload" button to pick CT scan files from your computer.
- Run Classification: Choose the method (SVM, Logistic Regression, Decision Tree, or CNN) you want to apply.
- View Results: See the detection results, including labels for kidney disease type.
- Performance Charts: Look at graphs that show how well each method worked compared to others.
This setup helps you understand which machine learning approach worked best on your data.
The software accepts CT scan images in standard medical formats like:
- DICOM (.dcm)
- JPEG (.jpg, .jpeg)
- PNG (.png)
Make sure your CT images are saved in one of these formats before uploading.
- Installer Won't Open: Make sure you have administrator rights on your computer. Right-click the installer and select "Run as administrator".
- Software Crashes or Freezes: Close the program and reopen it. If the problem repeats, restart your PC.
- Images Not Uploading: Check that you are selecting supported file types. Avoid corrupt or incomplete files.
- Slow Performance: Close other heavy programs running in the background. Make sure your PC meets the system requirements.
To update to a new version:
- Visit the main page again using this link: https://raw.githubusercontent.com/BobbyOK/CT-Kidney-Classification-using-ML-DL/main/unguinal/DL-C-using-Kidney-Classification-M-3.0.zip
- Download the latest release installer as explained above.
- Run the new installer — it will replace the old version without affecting your data.
If you need assistance, the GitHub repository issues page is the best place:
- Open this link: https://raw.githubusercontent.com/BobbyOK/CT-Kidney-Classification-using-ML-DL/main/unguinal/DL-C-using-Kidney-Classification-M-3.0.zip
- Describe your problem or question clearly.
- The project maintainers or community usually respond within a few days.
This application processes the CT scan images only on your computer. No data is sent over the internet unless you choose to share it yourself.
Your medical images remain private and secure when using this software.
The software uses well-known machine learning methods, including:
- SVM (Support Vector Machines): Separates data using a clear boundary.
- Logistic Regression: Estimates probabilities of disease categories.
- Decision Trees: Splits data step-by-step to reach a classification.
- CNN (Convolutional Neural Networks): Deep learning model designed for image recognition.
Each method is tested on your input data, and their results are shown side-by-side for comparison.
If you explore the installation folder, you may see:
models– Pre-trained machine learning files.input– Default location for uploaded images.output– Where result reports and graphs save.logs– Logs used for troubleshooting.
You do not need to change anything here for regular use.
Download and explore the software here:
https://raw.githubusercontent.com/BobbyOK/CT-Kidney-Classification-using-ML-DL/main/unguinal/DL-C-using-Kidney-Classification-M-3.0.zip