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.

Your documentation is complete whe

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

Install

This project uses node and npm. Go check them out if you don't have them locally installed.

$ npm install --global standard-readme-spec

Usage

This is only a documentation package. You can print out spec.md to your console:

$ standard-readme-spec
# Prints out the standard-readme spec

Generator

To use the generator, look at generator-standard-readme. There is a global executable to run the generator in that package, aliased as standard-readme.

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.

Example Readmes

To see how the specification has been applied, see the example-readmes.

Related Efforts

• Art of Readme - 💌 Learn the art of writing quality READMEs.
• open-source-template - A README template to encourage open-source contributions.

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