https://github.com/radtorch/radtorch

Official repository for RADTorch - The Medical Imaging Machine Learning Framework
https://github.com/radtorch/radtorch

ai classification convolutional-neural-networks deep-learning dicom gpu image-classification image-classifier kit machine machine-learning medical-imaging neural-networks pydicom python pytorch radiology radiology-machine-learning rsna sklearn

Last synced: about 1 month ago
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Official repository for RADTorch - The Medical Imaging Machine Learning Framework

• Host: GitHub
• URL: https://github.com/radtorch/radtorch
• Owner: radtorch
• License: other
• Created: 2020-02-16T02:44:31.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2024-08-29T21:00:26.000Z (2 months ago)
• Last Synced: 2024-09-27T20:23:08.746Z (about 2 months ago)
• Topics: ai, classification, convolutional-neural-networks, deep-learning, dicom, gpu, image-classification, image-classifier, kit, machine, machine-learning, medical-imaging, neural-networks, pydicom, python, pytorch, radiology, radiology-machine-learning, rsna, sklearn
• Language: Python
• Homepage: https://www.radtorch.com
• Size: 13.8 MB
• Stars: 20
• Watchers: 3
• Forks: 5
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md
  • Security: SECURITY.md

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README

        


![](https://img.shields.io/badge/stable%20version-01.0.1-brightgreen)

![](https://img.shields.io/badge/preview%20version-01.0.1-red)

![](https://img.shields.io/badge/dependencies-up%20to%20date-blue)

![](https://img.shields.io/badge/license-AGPL3.0-inactive)

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.6464087.svg)](https://doi.org/10.5281/zenodo.6464087)

## What is RADTorch ?



RADTorch provides a framework of higher level classes and functions that significantly reduce the time needed for implementation of different machine and deep learning algorithms on DICOM and non-DICOM medical images.

RADTorch was built by radiologists for radiologists so they can build, test and implement state-of-the-art machine learning algorithms in minutes.

RADTorch is :

- User-Friendly: Minimal coding required.

- Comprehensive: Includes data analysis and visualization.

- Backed by state-of-the-art machine learning and data visualization frameworks.



![image](https://user-images.githubusercontent.com/17037319/163655659-bc7744f1-db9a-425a-95c8-202a6322536f.png)

## Install RADTorch

### Stable version

To install stable version via pip, use the following command:

```

pip3 install git+https://download.radtorch.com/

```

Preview version

To install Preview beta version via pip, use the following command:

```

pip3 install git+https://preview.radtorch.com/

```




### Requests

Feature requests are more than welcomed on our discussion board [HERE](https://github.com/radtorch/radtorch/issues/4#issue-573590182)




### Contribute

Bug reports and pull requests are welcome.




### Cite us

```

@software{mohamed_elbanan_2022_6464087,

  author       = {Mohamed Elbanan},

  title        = {radtorch/radtorch: 1.0.0},

  month        = apr,

  year         = 2022,

  publisher    = {Zenodo},

  version      = {1.0.0},

  doi          = {10.5281/zenodo.6464087},

  url          = {https://doi.org/10.5281/zenodo.6464087}

}

```