Zea
zea: A Toolbox for Cognitive Ultrasound Imaging
Install / Use
/learn @tue-bmd/ZeaREADME
zea <img src="https://raw.githubusercontent.com/tue-bmd/zea/main/docs/_static/zea-logo.png" width="120" height="120" align="right" alt="zea Logo" />
Welcome to the zea package: A Toolbox for Cognitive Ultrasound Imaging.
- 📚 Full documentation: zea.readthedocs.io
- 🔬 Try hands-on examples (with Colab): Examples & Tutorials
- ⚙️ Installation guide: Installation
zea is a Python library that offers ultrasound signal processing, image reconstruction, and deep learning. Currently, zea offers:
- A flexible ultrasound signal processing and image reconstruction Pipeline written in your favorite deep learning framework.
- A complete set of Data loading tools for ultrasound data and acquisition parameters, designed for deep learning workflows.
- A collection of pretrained Models for ultrasound image and signal processing.
- A set of action selection functions for cognitive ultrasound in the Agent module.
- Multi-Backend Support via Keras3: You can use PyTorch, TensorFlow, or JAX.
Check out the About page for more information and the motivation behind zea. For any questions or suggestions, please feel free to open an issue on GitHub. If you want to contribute, check out the Contributing guide.
[!WARNING] Beta! This package is highly experimental and under active development. It is mainly used to support our research and as a basis for our publications. That being said, we are happy to share it with the ultrasound community and hope it will be useful for your research as well.
[!NOTE] 📖 Please cite
zeain your publications if it helps your research. You can find citation info here.
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