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 :
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User-Friendly: Minimal coding required.
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Comprehensive: Includes data analysis and visualization.
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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://beta.radtorch.com/
Feature requests are more than welcomed on our discussion board HERE
Bug reports and pull requests are welcome.