Skip to main content

Predict: a Radiomics Extensive Digital Interchangable Classification Toolkit.

Project description

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


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 build_sphinx

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


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 file:

python 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.


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


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

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for PREDICT, version 3.1.1
Filename, size File type Python version Upload date Hashes
Filename, size PREDICT-3.1.1-py3-none-any.whl (54.8 kB) File type Wheel Python version py3 Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page