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 acquisition loading tools for ultrasound data and acquisition parameters, designed for deep learning workflows.
- A collection of pretrained models for ultrasound image and signal processing.
- Multi-Backend Support via Keras3: You can use PyTorch, TensorFlow, or JAX.
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 zea in your publications if it helps your research. You can find citation info here.