momozi1996 / medical_ai_analysis

Our project provides AI tools for analyzing medical data

PaddleCare

PaddleCare is a usable AI toolkit for medical data analysis.

PaddleCare can be used for the following medical data: clinical data (Table), imaging data (MRI,CT,Xray), medical signals (EEG), and etc .

The developed algorithm tool mainly contains three contents:

1. Statistic analysis （R and python)

2. Radiomics (python)

3. Deep learning (python)

We provide the user with the code available, including:

1. PaddlePaddle , deep learning algorithm (https://www.paddlepaddle.org.cn/)
2. Scikit - learn , radiomics/ machine learning algorithm (https://scikit-learn.org/stable/modules/classes.html)
3. Common statistical methods in R

Readme is designed for open source libraries.

Welcome to collect this project:

• 

Table of Contents

• Background
• Install
• Usage
  • Generator
• Dataset
• Statistic_analysis
• Radiomics
• Deep_learning
• Author
• Maintainers
• Contributing
• License

Background

PaddleCare,as a Medical_AI_analysis toolkit is originally posed by @yanmo in this issue, about whether or not a tool to standardize readmes would be useful.

The goals for this repository are:

1. Provide available statistical methods, charts and codes for medical data
2. Provide basic flow of image omics analysis, feature engineering flow and machine learning algorithm
3. Provide common deep learning algorithms, pre-training model configurations and codes for medical imaging
4. Assist in scientific research of "AI+ Medicine"
5. Open source code for all users

Dataset

In this project, open data sets of medical images were organized for users to download and use.

dataset

https://github.com/momozi1996/Medical_AI_analysis/blob/main/datasets.md

Statistic_analysis

To see how the specification has been applied, see the Statistic_analysis.

Radiomics

To see how the specification has been applied, see the Radiomics.

Deep_learning

To see how the specification has been applied, see the Radiomics.

Author

Yan Mo

❤️ Google scholar ️❤️: https://scholar.google.com/citations?hl=zh-CN&user=clOu00oAAAAJ

️❤️ Researchgate ❤️️: https://www.researchgate.net/profile/Yan-Mo-9/research

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💕 Welcome to contact me @ [email protected]

Maintainers

@YanMo.

Contributing

Feel free to dive in! Open an issue or submit PRs.

Standard Readme follows the Contributor Covenant Code of Conduct.

Contributors

This project exists thanks to all the people who contribute.

License

MIT © Richard Littauer