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mritc: MRI Tissue Classification

Implements various methods for tissue classification in magnetic resonance (MR) images of the brain, including normal mixture models and hidden Markov normal mixture models, as outlined in Feng & Tierney (2011) <doi:10.18637/jss.v044.i07>. These methods allow a structural MR image to be classified into gray matter, white matter and cerebrospinal fluid tissue types.

Version: 0.5-3
Depends: R (≥ 2.14.0), lattice (≥ 0.18-8), misc3d (≥ 0.8-1), oro.nifti (≥ 0.4.0)
Imports: methods
Suggests: tkrplot (≥ 0.0-23)
Published: 2023-01-27
DOI: 10.32614/CRAN.package.mritc
Author: Dai Feng [aut], Luke Tierney [aut], Jon Clayden ORCID iD [cre, aut]
Maintainer: Jon Clayden <code at clayden.org>
BugReports: https://github.com/jonclayden/mritc/issues
License: GPL-2 | GPL-3 [expanded from: GPL]
URL: https://github.com/jonclayden/mritc
NeedsCompilation: yes
Citation: mritc citation info
Materials: ChangeLog
In views: MedicalImaging
CRAN checks: mritc results

Documentation:

Reference manual: mritc.pdf

Downloads:

Package source: mritc_0.5-3.tar.gz
Windows binaries: r-devel: mritc_0.5-3.zip, r-release: mritc_0.5-3.zip, r-oldrel: mritc_0.5-3.zip
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available
Old sources: mritc archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.