| Name | zea JSON |
| Version |
0.0.2
JSON |
| download |
| home_page | None |
| Summary | A Toolbox for Cognitive Ultrasound Imaging. Provides a set of tools for processing of ultrasound data, all built in your favorite machine learning framework. |
| upload_time | 2025-07-10 09:20:20 |
| maintainer | None |
| docs_url | None |
| author | Tristan Stevens |
| requires_python | <3.13,>=3.10 |
| license | None |
| keywords |
ultrasound
machine learning
beamforming
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# 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" />
[](https://pypi.org/project/zea/)
[](https://github.com/tue-bmd/zea/actions/workflows/tests.yaml)
[](https://zea.readthedocs.io/en/latest/?badge=latest)
[](https://github.com/tue-bmd/zea/blob/main/LICENSE)
[](https://codecov.io/gh/tue-bmd/zea)
Welcome to the documentation for the `zea` package: *A Toolbox for Cognitive Ultrasound Imaging.*
`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](https://keras.io/keras_3/):** You can use [PyTorch](https://github.com/pytorch/pytorch), [TensorFlow](https://github.com/tensorflow/tensorflow), or [JAX](https://github.com/google/jax).
> [!WARNING]
> **Beta!**
> This package is highly experimental and under active development. It is mainly used to support [our research](https://www.tue.nl/en/research/research-groups/signal-processing-systems/biomedical-diagnostics-lab) 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]
> 📖 If you use `zea` in your research, please cite our work.
> You can find the citation information by clicking the **"Cite this repository"** button on the top right of this page.
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