Introduction

Welcome to the hurahura project documentation!

Note

note: this project was formerly named miresearch

Overview

The hurahura project aims to provide a comprehensive platform for organizing and managing medical imaging research projects. It offers tools and utilities to streamline the research process, from data collection and preprocessing to analysis and visualization.

Features

  • Project Organization: Easily organize your medical imaging research projects, experiments, and datasets in a structured manner.

  • Data Management: Efficiently manage medical imaging datasets, including storage, retrieval, and preprocessing.

  • Analysis Tools: Access a variety of tools and algorithms for medical image analysis

  • Visualization: Visualize medical imaging data and analysis results using interactive visualizations and plots.

  • Collaboration: Collaborate with colleagues and peers by sharing projects, datasets, and analysis pipelines.

  • Customization: Customize and extend the platform to suit your specific research needs and workflows.

Getting Started

To get started with hurahura, you can follow these steps:

  1. Install the hurahura package by running:

    pip install hurahura

  2. Explore the documentation to learn about the project’s features, usage, and API reference.

  3. Check out the tutorials and examples to see hurahura in action.

Contributing

Contributions to the hurahura project are welcome! If you encounter any issues, have suggestions for improvements, or would like to contribute code, please visit the project repository on GitHub:

hurahura GitHub Repository

Note

Please review the contribution guidelines and code of conduct before contributing to the project.

Feedback

We value your feedback! If you have any questions, comments, or feedback regarding the hurahura project, please don’t hesitate to reach out to us:

Thank you for using hurahura for your medical imaging research projects!