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Predict: a Radiomics Extensive Digital Interchangable Classification Toolkit.

Project description

This is an open-source python package supporting radiomics image feature extraction.

Documentation

For more information, see the sphinx generated documentation available here (WIP).

Alternatively, you can generate the documentation by checking out the master branch and running from the root directory:

python setup.py build_sphinx

The documentation can then be viewed in a browser by opening PACKAGE_ROOT\build\sphinx\html\index.html.

Installation

PREDICT has currently been tested on Ubuntu 16.04 and 18.04, and Windows 10 using Python 3.6.6 and higher.

The package can be installed through pip :

pip install PREDICT

Alternatively, you can use the provided setup.py file:

python setup.py install

Make sure you first install the required packages:

pip install -r requirements.txt

3rd-party packages used in PREDICT:

We mainly rely on the following packages:

  • SimpleITK (Image loading and preprocessing)
  • numpy (Feature computation)
  • scikit-image
  • pandas (Storage)
  • PyRadiomics
  • pydicom

See also the requirements file.

License

This package is covered by the open source APACHE 2.0 License.

Contact

We are happy to help you with any questions: please send us a message or create an issue on Github.

Project details


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Files for PREDICT, version 3.1.1
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