Brainchop

**Frontend For Neuroimaging. Open Source** **[Demo v3](https://neuroneural.github.io/brainchop/v3)   [Doc](https://github.com/neuroneural/brainchop/wiki/)**

Brainchop v3 brings automatic 3D MRI volumetric segmentation capability to neuroimaging by running a lightweight deep learning model (e.g., MeshNet) in the web-browser for inference on the user side.

We make the implementation of Brainchop freely available, releasing its pure javascript code as open-source. The user interface (UI) provides a web-based end-to-end solution for 3D MRI segmentation. Papaya viewer is integrated with the tool for MRI visualization. In version 1.3.0, Three.js is used for MRI 3D rendering. For more information about Brainchop, please refer to this detailed Wiki and this Blog.

Note: The remaining content of this README file has been moved to the main README.md file in the root of the repository. Please refer to the main README for general information, last updates, news, citations, usage guidelines, and contribution details.

**Mohamed Masoud - Sergey Plis - 2024**