Metadata-Version: 1.1
Name: PREDICT
Version: 2.1.1rc1
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
Description: PREDICT v2.1.1rc1
        =================
        
        PREDICT: a Radiomics Extensive Digital Interchangable Classification Toolkit
        ----------------------------------------------------------------------------
        
        This is an open-source python package supporting Radiomics medical image
        feature extraction and classification.
        
        We aim to add a wide variety of features and classifiers to address a
        wide variety classification problems. Through a modular setup, these can
        easily be interchanged and compared.
        
        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 only been tested on Unix with Python 2.7.6 and
        higher. We plan to merge towards Python 3 early 2019.
        
        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
        
        Preprocessing
        ~~~~~~~~~~~~~
        
        From version 1.0.2 and on, preprocessing has been removed from PREDICT.
        It is now available as a separate tool in the `WORC
        package <https://github.com/MStarmans91/WORC>`__, as it's also a
        separate step in the radiomics workflow. We do advice to use the
        preprocessing function and thus also WORC.
        
        3rd-party packages used in PREDICT:
        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
        
        We mainly rely on the following packages:
        
        -  SimpleITK (Image loading and preprocessing)
        -  numpy (Feature computation)
        -  sklearn, scipy (Classification)
        -  FASTR (Fast and parallel workflow execution)
        -  pandas (Storage)
        -  PyRadiomics
        
        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.
        
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 :: 2.7
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: System :: Distributed Computing
Classifier: Topic :: System :: Logging
Classifier: Topic :: Utilities
