MONAI

https://monai.org.cn/

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MONAI是一个开源的AI框架，通过连接研究与临床部署，赋能医疗健康创新，旨在弥合研究创新与临床实施之间的差距，提供企业级解决方案，加速医疗健康技术的进步。

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### Image Preprocessing with MONAI Compose

Source: https://monai.org.cn/core

This snippet demonstrates how to define and apply a series of image preprocessing transformations using MONAI's Compose utility. It includes loading an image, adding a channel dimension, and scaling intensity values. This is useful for preparing medical imaging data for deep learning models.

```python
from monai.transforms import (
    Compose,
    LoadImage,
    ScaleIntensity,
    AddChannel
)

# Define transformations for image preprocessing
transforms = Compose([
    LoadImage(image_only=True),
    AddChannel(),
    ScaleIntensity()
])

# Apply transformations to an image
image = transforms(image_path)
```

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### MONAI Core Citation

Source: https://monai.org.cn/core

This snippet provides the BibTeX entry for citing the MONAI Core framework in research publications. It includes the title, authors, journal, and year of publication, along with the arXiv identifier and DOI for easy reference.

```bibtex
@article{cardoso2022monai,
  title={MONAI: An open-source framework for deep learning in healthcare},
  author={M Jorge Cardoso, Wenqi Li, Richard Brown, Nic Ma, Eric Kerfoot, Yiheng Wang, Benjamin Murrey, Andriy Myronenko, Can Zhao, Dong Yang, Vishwesh Nath, Yufan He, Ziyue Xu, Ali Hatamizadeh, Andriy Myronenko, Wentao Zhu, Yun Liu, Mingxin Zheng, Yucheng Tang, Isaac Yang, Michael Zephyr, Behrooz Hashemian, Sachidanand Alle, Mohammad Zalbagi Darestani, Charlie Budd, Marc Modat, Tom Vercauteren, Guotai Wang, Yiwen Li, Yipeng Hu, Yunguan Fu, Benjamin Gorman, Hans Johnson, Brad Genereaux, Barbaros S Erdal, Vikash Gupta, Andres Diaz-Pinto, Andre Dourson, Lena Maier-Hein, Paul F Jaeger, Michael Baumgartner, Jayashree Kalpathy-Cramer, Mona Flores, Justin Kirby, Lee A D Cooper, Holger R Roth, Daguang Xu, David Bericat, Ralf Floca, S Kevin Zhou, Haris Shuaib, Keyvan Farahani, Klaus H Maier-Hein, Stephen Aylward, Prerna Dogra, Sebastien Ourselin, Andrew Feng},
  journal={arXiv:2211.02701},
  year={2022}
}
```

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