Metadata-Version: 2.1
Name: PREDICT
Version: 3.1.4
Summary: Predict: a Radiomics Extensive Digital Interchangable Classification Toolkit.
Home-page: https://github.com/Svdvoort/PREDICTFastr
Author: M. Starmans, S. van der Voort
Author-email: m.starmans@erasmusmc.nl, s.vandervoort@erasmusmc.nl
License: Apache License, Version 2.0
Keywords: bioinformatics radiomics features
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Healthcare Industry
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: Education
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: System :: Distributed Computing
Classifier: Topic :: System :: Logging
Classifier: Topic :: Utilities
Requires-Dist: numpy (>=1.16.3)
Requires-Dist: configparser (>=3.7.4)
Requires-Dist: joblib (>=0.10.2)
Requires-Dist: natsort (>=5.0.1)
Requires-Dist: pandas (>=0.24.2)
Requires-Dist: phasepack (>=1.5)
Requires-Dist: pyradiomics (>=3.0)
Requires-Dist: scipy (>=1.2.1)
Requires-Dist: SimpleITK (>=1.2.0)
Requires-Dist: tables (>=3.5.1)
Requires-Dist: pydicom (>=1.2.2)
Requires-Dist: PyWavelets (<=1.0.0,>=0.4.0)
Requires-Dist: scikit-image (<=0.16.1,>=0.15.0)

PREDICT v3.1.4
==============

PREDICT: a Radiomics Extensive Digital Interchangable Classification Toolkit
----------------------------------------------------------------------------

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

Documentation
~~~~~~~~~~~~~

For more information, see the sphinx generated documentation available
`here (WIP) <http://predict.readthedocs.io/>`__.

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 <requirements.txt>`__.

License
~~~~~~~

This package is covered by the open source `APACHE 2.0
License <APACHE-LICENSE-2.0>`__.

Contact
~~~~~~~

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


