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Deep Learning in Radiotherapy Products

Note: The website is currently under development. We welcome contributions to verify and improve the product information accuracy.

Team

Matteo Maspero

Matteo Maspero

Project Lead - Computational Imaging Group Utrecht

How to Contribute

We welcome contributions to improve the accuracy of product information. If you notice any inaccuracies or have updates about the AI products listed, please:

  1. Open an issue describing the update needed
  2. Submit a pull request with your changes
  3. Ensure proper attribution and documentation

Development

This project is built with:

  • Vite
  • TypeScript
  • React
  • Tailwind CSS

Running Locally

The only requirement is having Node.js & npm installed - install with nvm

# Clone the repository
git clone https://github.com/DLinRT-eu/website.git

# Navigate to the project directory
cd website

# Install dependencies
npm install

# Start the development server
npm run dev

You can also use GitHub Codespaces for development:

  1. Navigate to the repository
  2. Click "Code" > "Codespaces"
  3. Create a new codespace to start developing

License

This project is licensed under the GNU AGPL-3.0 License - see the LICENSE file for details. You are free to reuse and modify the code, provided you maintain the same license and provide proper attribution to the original authors.

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Register of deep learning-based products in radiotherapy

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