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.

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/

Feature requests are more than welcomed on our discussion board HERE

Bug reports and pull requests are welcome.

@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}
}