Package: mritc 0.5-3

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
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mritc.pdf |mritc.html
mritc/json (API)

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

Peer review:

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

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

On CRAN:

14 exports 1 stars 0.84 score 7 dependencies 227 downloads

Last updated 1 years agofrom:2cb91934ff

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

Dependencies:abindbitopslatticemisc3doro.niftiRcppRNifti