Skip to main content

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.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for regseg, version 0.1.1
Filename, size File type Python version Upload date Hashes
Filename, size regseg-0.1.1.tar.gz (49.9 kB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring DigiCert DigiCert EV certificate Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page