itksnap 3.4.0-1build1 source package in Ubuntu

Changelog

itksnap (3.4.0-1build1) xenial; urgency=medium

  * Rebuild against libinsighttoolkit4.9.

 -- Gianfranco Costamagna <email address hidden>  Fri, 26 Feb 2016 11:02:11 +0100

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Uploaded by:
Gianfranco Costamagna on 2016-02-26
Uploaded to:
Xenial
Original maintainer:
NeuroDebian Team
Architectures:
any
Section:
science
Urgency:
Medium Urgency

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Series Pocket Published Component Section
Xenial release on 2016-02-26 universe science

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File Size SHA-256 Checksum
itksnap_3.4.0.orig.tar.gz 3.8 MiB ca709c6849bb3fa44b4bfcd6d0985bc0969d17c7ba10aeca634b0c7bb9034992
itksnap_3.4.0-1build1.debian.tar.xz 4.8 KiB ad87b09c4906c189ab7ac048863043f6c76c19d76b4ddabc53f431d5c6832661
itksnap_3.4.0-1build1.dsc 2.1 KiB 3ac356b58701d08a9466425f2b91ced5e5698002a74deec3d1ebaa659102980c

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Binary packages built by this source

itksnap: semi-automatic segmentation of structures in 3D images

 SNAP provides semi-automatic segmentation of structures in medical
 images (e.g. magnetic resonance images of the brain) using active
 contour methods, as well as manual delineation and image navigation.
 Noteworthy features are:
 .
  * Linked cursor for seamless 3D navigation
  * Manual segmentation in three orthogonal planes at once
  * Support for many different 3D image formats, including NIfTI
  * Support for concurrent, linked viewing and segmentation of multiple images
  * Limited support for color images (e.g., diffusion tensor maps)
  * 3D cut-plane tool for fast post-processing of segmentation results

itksnap-dbgsym: debug symbols for package itksnap

 SNAP provides semi-automatic segmentation of structures in medical
 images (e.g. magnetic resonance images of the brain) using active
 contour methods, as well as manual delineation and image navigation.
 Noteworthy features are:
 .
  * Linked cursor for seamless 3D navigation
  * Manual segmentation in three orthogonal planes at once
  * Support for many different 3D image formats, including NIfTI
  * Support for concurrent, linked viewing and segmentation of multiple images
  * Limited support for color images (e.g., diffusion tensor maps)
  * 3D cut-plane tool for fast post-processing of segmentation results