Extending the Linear Assignment Problem with anatomical priors improves white matter bundle segmentation from tractograms, with gains especially on small bundles.
In all the cases we obtained a mean DSC between 0.80 and 0.87, which means that the overlap with the ground truth is at least 80%
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Anatomically-Informed Multiple Linear Assignment Problems for White Matter Bundle Segmentation
Extending the Linear Assignment Problem with anatomical priors improves white matter bundle segmentation from tractograms, with gains especially on small bundles.