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mritc
View on CRAN: Click
here
Download and install mritc package within the R console
Install from CRAN:
install.packages("mritc")
Install from Github:
library("remotes")
install_github("cran/mritc")
Install by package version:
library("remotes")
install_version("mritc", "0.5-3")
Attach the package and use:
library("mritc")
Maintained by
Jon Clayden
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2010-08-17
Latest Update: 2023-01-27
Description:
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) . These methods allow a
structural MR image to be classified into gray matter, white matter
and cerebrospinal fluid tissue types.
How to cite:
Jon Clayden (2010). mritc: MRI Tissue Classification. R package version 0.5-3, https://cran.r-project.org/web/packages/mritc. Accessed 28 Jan. 2025.
Previous versions and publish date:
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Other R packages that mritc depends,
imports, suggests or enhances
Complete documentation for mritc
Functions, R codes and Examples using
the mritc R package
Some associated functions: emnormmix . initNormMix . makeMRIspatial . measureMRI . mritc-package . mritc . plot.mritc . print.mritc . readMRI . rnormmix . summary.mritc . writeMRI .
Some associated R codes: common.R . getBlocksMRI.R . getNeighborsMRI.R . getWeightsMRI.R . initNormMix.R . measureMRI.R . mriio.R . mrispatial.R . mritc.R . mritc.bayes.R . mritc.em.R . mritc.hmrfem.R . mritc.icm.R . mritc.pvhmrfem.R . plot.mritc.R . print.mritc.R . rnormmix.R . sub.R . summary.mritc.R . update.R . Full mritc package functions and examples
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