Package: mritc 0.5-3

Jon Clayden

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.

Authors:Dai Feng [aut], Luke Tierney [aut], Jon Clayden [cre, aut]

mritc_0.5-3.tar.gz
mritc_0.5-3.tar.gz(r-4.7-arm64)mritc_0.5-3.tar.gz(r-4.7-x86_64)mritc_0.5-3.tar.gz(r-4.6-arm64)mritc_0.5-3.tar.gz(r-4.6-x86_64)
mritc_0.5-3.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
mritc/json (API)

# Install 'mritc' in R:
install.packages('mritc', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jonclayden/mritc/issues

Uses libs:
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

openmp

1.38 score 2 stars 12 scripts 163 downloads 14 exports 7 dependencies

Last updated from:4a0523d557. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK132
linux-devel-x86_64OK224
source / vignettesOK178
linux-release-arm64OK136
linux-release-x86_64OK141
wasm-releaseOK110

Exports:emnormmixinitOtsuinitPropmakeMRIspatialmeasureMRImritcmritc.bayesmritc.emmritc.hmrfemmritc.icmmritc.pvhmrfemreadMRIrnormmixwriteMRI

Dependencies:abindbitopslatticemisc3doro.niftiRcppRNifti