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Python interface to RegSeg, a surface-driven registration method for the structure-informed segmentation of multispectral brain images

Project description

RegSeg is a simultaneous segmentation and registration method that uses active contours without edges (ACWE) extracted from structural images. The contours evolve through a free-form deformation field supported by the B-spline basis to optimally map the contours onto the data in the target space.

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