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"author": "Fernando Perez-Garcia",
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"Programming Language :: Python :: 3.5",
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"description": "======\nSTAPLE\n======\n\n\n.. image:: https://img.shields.io/badge/License-MIT-yellow.svg\n :target: https://opensource.org/licenses/MIT\n\n.. image:: https://img.shields.io/pypi/v/staple.svg\n :target: https://pypi.python.org/pypi/staple\n\n.. image:: https://img.shields.io/travis/fepegar/staple.svg\n :target: https://travis-ci.org/fepegar/staple\n\n.. image:: https://readthedocs.org/projects/staple/badge/?version=latest\n :target: https://staple.readthedocs.io/en/latest/?badge=latest\n :alt: Documentation Status\n\n.. image:: https://pyup.io/repos/github/fepegar/staple/shield.svg\n :target: https://pyup.io/repos/github/fepegar/staple/\n :alt: Updates\n\n\n\nPython implementation of the Simultaneous Truth and Performance Level\nEstimation (STAPLE) algorithm for generating ground truth volumes from\na set of binary segmentations.\n\nThe STAPLE algorithm is described in\n`S. Warfield, K. Zou, W. Wells, Validation of image segmentation and\nexpert quality with an expectation-maximization algorithm in MICCAI 2002:\nFifth International Conference on Medical Image Computing and\nComputer-Assisted Intervention, Springer-Verlag, Heidelberg, Germany, 2002,\npp. 298-306 `_.\n\n\nInstallation\n------------\n\n::\n\n $ pip install staple\n\n\nUsage\n-----\n\n::\n\n$ staple seg_1.nii.gz seg_2.nii.gz seg_3.nii.gz result.nii.gz\n\n\nCaveats\n-------\n\n- The `SimpleITK implementation `_\n is about 16 times faster for the\n `test images `_\n (0.7 s vs 11.8 s).\n The implementation in this repository is mostly for educational purposes.\n- Markov random field (MRF) postprocessing is not implemented (nor is it in the\n `ITK version `_).\n If you need STAPLE with MRF, check out\n `NiftySeg `_.\n\n\nCredits\n-------\n\nThis package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.\n\n.. _Cookiecutter: https://github.com/audreyr/cookiecutter\n.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage\n\n\n",
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