Surajmanajipet

🩺 Diabetic-Retinopathy-Detection-DR–With-XAI - AI-Powered Eye Health Solution

📥 Download Now

📖 Overview

Diabetic Retinopathy Detection is a deep learning system designed to identify diabetic retinopathy effectively. This software uses advanced models, including EfficientNetB3, DenseNet201, and ResNet50V2, ensuring high accuracy. Our solution integrates Explainable AI techniques, Grad-CAM and Score-CAM, making it easier to understand how the model arrives at its decisions. With a 96% accuracy rate, this application serves to assist healthcare professionals in diagnosing diabetic retinopathy.

🚀 Getting Started

To start using the application, follow these simple steps:

1. System Requirements:
   • Windows, macOS, or Linux operating system
   • At least 4 GB RAM
   • Minimum of 1 GB free disk space
   • Internet connection to download and install necessary dependencies
2. Download the Software:
   • Click on the download button above or visit the Releases page to find the latest version.
3. Installation Instructions:
   • After downloading, locate the downloaded file.
   • For Windows, double-click the .exe file to run the installer.
   • For macOS, open the .dmg file and drag the application into the Applications folder.
   • For Linux, extract the tar file and run the provided script from the terminal.
   • Follow the prompts to complete the installation.

🎯 Features

• High Accuracy: Detect diabetic retinopathy with a 96% success rate.
• Explainable AI: Understand model decisions with Grad-CAM and Score-CAM visualizations.
• User-Friendly Interface: Designed for easy navigation and use by non-technical users.
• Support for Multiple Platforms: Compatible with Windows, macOS, and Linux.

🔧 How to Use

1. Launch the Application:
   • Open the application from your Applications folder or start menu.
2. Import Images:
   • Click on ‘Import’ to select retinal images saved on your device.
3. Run Detection:
   • Press the ‘Analyze’ button to process the images.
4. View Results:
   • The software will display the results within moments.
   • You will see whether the images indicate signs of diabetic retinopathy and also the visualization produced by Explainable AI to help understand the predictions.

ℹ️ Additional Resources

• User Manual: Detailed instructions can be found in the user manual located in the application folder after installation.
• Support: For questions or issues, please visit our GitHub Issues page for assistance.

🙏 Acknowledgments

This project leverages popular deep learning frameworks. Thank you to the open-source community for providing valuable resources.

📅 Future Updates

We plan to enhance this application with:

• Support for more image formats.
• Increased detection capabilities.
• Real-time data processing features.

📞 Contact

For more information or feedback, please reach out to the development team through the GitHub repository.

🎈 Download Again

Don’t forget to return to the Releases page for updates and new versions. Enjoy exploring the future of eye health with AI!