Ubuntu
cmtk package

cmtk 2.2.6-1ubuntu1 source package in Ubuntu

Changelog

cmtk (2.2.6-1ubuntu1) raring; urgency=low

  * cmake2.8.10-compat.patch: fix ftbfs due to new cmake

cmtk (2.2.6-1) experimental; urgency=low

  * New upstream release
    - includes freshier snapshot or nrrdio
    - addresses segfaults in dcm2image

cmtk (2.2.5-1) UNRELEASED; urgency=low

  * New upstream release
    - addresses bashism issues (Closes: #690930)

cmtk (2.2.4-1) experimental; urgency=low

  * New upstream bugfix release

cmtk (2.2.3-1) experimental; urgency=low

  * New upstream release
    - incorporates compatibility changes for older fftw (patch dropped)
    - requires mxml >= 2.7.  Copy of it is now shipped along under
      Utilities/mxml -- amd built against when system-wide version is
      outdated.
  * debian/copyright:
    - added entry for Greg Jefferis's contributions
 -- Julian Taylor <email address hidden>   Sun, 06 Jan 2013 02:42:11 +0100

Upload details

Uploaded by:
Julian Taylor
Uploaded to:
Raring
Original maintainer:
Ubuntu Developers
Architectures:
any
Section:
science
Urgency:
Low Urgency

See full publishing history Publishing

Series Pocket Published Component Section

Downloads

File Size SHA-256 Checksum
cmtk_2.2.6.orig.tar.gz 1.4 MiB 19d8cd45baf242517641e967fc66afb316fe61ab075be8794cc3a3904d7cc2bf
cmtk_2.2.6-1ubuntu1.debian.tar.gz 8.2 KiB 028e54a33edb7a9965a970a9d1cffe0bfae1266c5e863b2c786ac6977ecb9293
cmtk_2.2.6-1ubuntu1.dsc 2.3 KiB b65ed8e95484fbd1b6889d3a4dca53f5269bcc1e9de045dc4593012ddd092f11

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Binary packages built by this source

cmtk: Computational Morphometry Toolkit

 A software toolkit for computational morphometry of biomedical
 images, CMTK comprises a set of command line tools and a back-end
 general-purpose library for processing and I/O.
 .
 The command line tools primarily provide the following functionality:
 registration (affine and nonrigid; single and multi-channel; pairwise
 and groupwise), image correction (MR bias field estimation;
 interleaved image artifact correction), processing (filters;
 combination of segmentations via voting and STAPLE; shape-based
 averaging), statistics (t-tests; general linear regression).