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Implementation of the STAPLE segmentation algorithm

Project description

STAPLE

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Python implementation of the Simultaneous Truth and Performance Level Estimation (STAPLE) algorithm for generating ground truth volumes from a set of binary segmentations.

The STAPLE algorithm is described in S. Warfield, K. Zou, W. Wells, Validation of image segmentation and expert quality with an expectation-maximization algorithm in MICCAI 2002: Fifth International Conference on Medical Image Computing and Computer-Assisted Intervention, Springer-Verlag, Heidelberg, Germany, 2002, pp. 298-306.

Installation

$ pip install staple

Usage

$ staple seg_1.nii.gz seg_2.nii.gz seg_3.nii.gz result.nii.gz

Test

TODO

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

History

0.1.0 (2019-08-02)

  • First release on PyPI.

Project details


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staple-0.1.0.tar.gz (11.0 kB view hashes)

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