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🚀 OcularAI - Classify Retinal Diseases with Ease

📋 Description

OcularAI uses advanced deep learning techniques to classify multiple retinal diseases. It leverages the power of Vision Transformers, including Swin, DeiT, and ViT, against traditional models like ResNet-50. With an impressive 81.1% F1 Macro score, this application aims to simplify the process of medical imaging analysis in the field of ophthalmology.

🚀 Getting Started

🖥️ System Requirements

Before you start, ensure your computer meets the following requirements:

• Operating System: Windows, macOS, or Linux
• RAM: At least 8 GB recommended
• Storage: Minimum of 2 GB available space
• Python: Version 3.7 or higher (if running outside of a packaged environment)

📥 How to Download

You can easily obtain OcularAI from our Releases page.

1. Visit this page to download: OcularAI Releases

2. Look for the latest version listed at the top of the page.

3. Click on the relevant file for your operating system (e.g., OcularAI-windows.zip, OcularAI-macos.zip, etc.).

4. The download will begin immediately.

📦 Installation Instructions

Once downloaded, follow these steps to install OcularAI:

1. Locate the downloaded file: Open your Downloads folder or specified download location.

2. Extract the files: If you downloaded a zip file, right-click on it and select “Extract All.” Choose a destination folder for the extracted files.

3. Run the Application:

   • For Windows:
     • Open the extracted folder.
     • Double-click OcularAI.exe to launch the application.
   • For macOS:
     • Open the extracted folder.
     • Double-click OcularAI.app to start the application.
   • For Linux:
     • Open a terminal window.
     • Navigate to the extracted folder.
     • Run the application with the command: ./OcularAI.

🛠️ Usage

1. Upon launching OcularAI, you will see a user-friendly interface.

2. Upload an Image: Click on the “Upload” button to select a retinal image from your computer.

3. Classify the Image: After the image loads, click on the “Classify” button. The software will process the image and display the results.

4. View Results: The application will show you a detailed summary of the classification along with confidence scores for multiple diseases.

🔧 Features

• Multi-Label Classification: Detects various retinal diseases in a single image.
• User-Friendly Interface: Simple design for quick navigation.
• High Accuracy: Based on state-of-the-art algorithms with proven results.
• Export Results: Save classification results for further analysis.

❓ Troubleshooting

If you encounter any issues, consider the following:

• Cannot Open Application: Ensure you have the necessary permissions to run the file on your computer. For macOS, you may need to allow apps from unidentified developers in your security settings.

• Slow Performance: Make sure your computer meets the system requirements. Closing other applications may help improve performance.

• Image Not Classifying: Ensure the image format is supported (JPEG, PNG). Additionally, verify that the image is clear and unobstructed.

📄 Additional Information

For more information on how OcularAI works, you can refer to the documentation available in the GitHub repository.

💡 Tips for Best Use

• Always use high-quality images for better accuracy.
• Analyze results critically, especially for medical applications.
• Regularly check for updates on the Releases page to benefit from improvements and new features.

Feel free to explore the OcularAI project further to understand its capabilities and the underlying technology.

For any questions or feedback, you can open an issue in the GitHub repository. Your contributions and thoughts are valued, and they help improve OcularAI.

Thank you for using OcularAI!