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mjorgecardoso edited this page May 22, 2018 · 2 revisions

This project, lead by Jorge Cardoso at King's 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 [email protected]:KCL-BMEIS/NiftySeg.git niftyseg

A packaged stable release is also available in the files menu above. This release in only updated once in a while, thus, it does not have the latest developments. For installation Instructions click here

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