Implementation of the STAPLE segmentation algorithm
Project description
STAPLE
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.
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Source Distribution
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