![PYCAD](https://capsule-render.vercel.app/api?type=soft&color=ffc800&text=PYCAD%20-%20Redefining%20Medical%20Imaging&fontSize=40&animation=twinkling)

[![Static Badge](https://img.shields.io/badge/PYCAD-Chatbot-%23018c54?logoColor=ffc800&link=https%3A%2F%2Fgithub.com%2Famine0110%2Fpycad%2Ftree%2Fmain%2Fdocs)](https://pycad-chatbot.streamlit.app/)
 [![Static Badge](https://img.shields.io/badge/PYCAD-Blog-%23ffc800?logoColor=ffc800&link=https%3A%2F%2Fpycad.co%2F)](https://pycad.co/) [![Static Badge](https://img.shields.io/badge/PYCAD-Docs-blue?logoColor=ffc800&link=https%3A%2F%2Fgithub.com%2Famine0110%2Fpycad%2Ftree%2Fmain%2Fdocs)](https://github.com/amine0110/pycad/tree/main/docs) [![Static Badge](https://img.shields.io/badge/PYCAD-Tutorials-green?logoColor=ffc800&link=https%3A%2F%2Fgithub.com%2Famine0110%2Fpycad%2Ftree%2Fmain%2Fdocs)](https://github.com/amine0110/pycad/tree/main/tutorials) [![Static Badge](https://img.shields.io/badge/PYCAD-YouTube-%23e80202?logoColor=ffc800&link=https%3A%2F%2Fgithub.com%2Famine0110%2Fpycad%2Ftree%2Fmain%2Fdocs)](https://www.youtube.com/channel/UCdYyILlPlehK4fKS5DiuMXQ) [![Static Badge](https://img.shields.io/badge/PYCAD-Courses-%23d600e6?logoColor=ffc800&link=https%3A%2F%2Fgithub.com%2Famine0110%2Fpycad%2Ftree%2Fmain%2Fdocs)](https://pycad.co/courses/) [![Static Badge](https://img.shields.io/badge/PYCAD-Services-%23000000?logoColor=ffc800&link=https%3A%2F%2Fgithub.com%2Famine0110%2Fpycad%2Ftree%2Fmain%2Fdocs)](https://pycad.co/services/) [![Static Badge](https://img.shields.io/badge/PYCAD-Portfolio-%23eb5d10?logoColor=ffc800&link=https%3A%2F%2Fgithub.com%2Famine0110%2Fpycad%2Ftree%2Fmain%2Fdocs)](https://pycad.co/portfolio/)


Welcome to PYCAD, a comprehensive library designed to simplify and streamline medical imaging tasks. From data preprocessing to advanced visualization, PYCAD empowers professionals, researchers, and enthusiasts to harness the power of modern algorithms and techniques with ease.


## Installation

1. **Clone the repository**:
   
   ```bash
   pip install pycad-medic
   ```

For more installation instructions, please see [this](https://github.com/amine0110/pycad/blob/main/docs/getting_started.md).

## Features & Usage

- **Image File Conversion**: Between NIFTI and DICOM formats.
- **Visualization**: Upcoming feature to visualize medical imaging data.
- **Data Preprocessing**: Including data splitting and annotation conversion.
- **Dataset Creation**: Configurations for YOLOv8.

For detailed usage and examples, refer to the [tutorials](./tutorials) directory and [documentation](./docs).

## Contributions & Support

We value contributions from the community! If you find a bug, want to propose a feature, or simply have a question, feel free to open an issue on our GitHub repository.

For deeper insights and support, consider booking a [premium session](https://pycad.co/services) with us.

## License

`PYCAD` is licensed under the MIT License. See the [LICENSE](./LICENSE) file for more details.

## Connect with Us
Stay updated with our latest advancements:

- 📹 [YouTube](https://www.youtube.com/c/pycad)
- 📖 [Blog](https://pycad.co/)
- 📧 [Newsletter](https://pycad.co/join-us/)
- 💼 [Premium Sessions](https://pycad.co/services/)

## Contact & Inquiries

For business inquiries, please reach out to us at:

📧 [contact@pycad.co](mailto:contact@pycad.co)


---
<p align="center"> 
  Visitor count<br>
  <img src="https://profile-counter.glitch.me/amine0110%2Fpycad/count.svg" />
</p>
