Difference between revisions of "NiftySeg"
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| + | [[File:Niftyseg_logo.png|200px|NiftySeg]] | ||
| + | This project, developed at University College London, contains programs to perform EM based segmentation of images in nifti or analyse format. | ||
| + | NiftySeg is an open-source toolkit licensed under the BSD license. | ||
| + | It also contains a package of label fusion algorithms (MV, STAPLE, SBA) with different types of ranking strategies. | ||
| + | |||
| + | Features: | ||
| + | LoAd: Locally Adaptive Brain Segmentation | ||
| + | General Purpose EM segmentation | ||
| + | Single and Multi-label Fusion package | ||
| + | |||
| + | To download the latest version, please check out the code by copying the following line to the termini;: | ||
| + | |||
| + | <code> | ||
| + | git clone git://git.code.sf.net/p/niftyseg/git niftyseg-git | ||
| + | </code> | ||
| + | |||
| + | A packaged stable release is also available [http://sourceforge.net/projects/niftyseg/ here]. This release in only updated once in a while, thus, it does not have the latest developments. | ||
| + | |||
| + | == Note == | ||
| + | We are currently in the process of rewriting the documentation and code base. A large release is imminent. | ||
Latest revision as of 10:43, 5 February 2019
This project, developed at University College London, contains programs to perform EM based segmentation of images in nifti or analyse format. NiftySeg is an open-source toolkit licensed under the BSD license. It also contains a package of label fusion algorithms (MV, STAPLE, SBA) with different types of ranking strategies.
Features: LoAd: Locally Adaptive Brain Segmentation General Purpose EM segmentation Single and Multi-label Fusion package
To download the latest version, please check out the code by copying the following line to the termini;:
git clone git://git.code.sf.net/p/niftyseg/git niftyseg-git
A packaged stable release is also available here. This release in only updated once in a while, thus, it does not have the latest developments.
Note
We are currently in the process of rewriting the documentation and code base. A large release is imminent.
