Package ichseg details

Intracerebral Hemorrhage Segmentation of X-Ray Computed Tomography (CT) Images

Performs preprocessing on computed tomography (CT) scans, including skull stripping. Computes predictors of intracerebral hemorrhage (ICH) and uses these to predict a binary hemorrhage mask from the data.

Maintainer: John Muschelli < muschellij2 at gmail.com >

 
From within R, enter citation(ichseg)


To cite package 'ichseg' in publications use:

John Muschelli (2018). ichseg: Intracerebral Hemorrhage Segmentation
of X-Ray Computed Tomography (CT) Images. R package version 0.13.3.

A BibTeX entry for LaTeX users is

@Manual{,
title = {ichseg: Intracerebral Hemorrhage Segmentation of X-Ray Computed Tomography (CT)
Images},
author = {John Muschelli},
year = {2018},
note = {R package version 0.13.3},
}

 

If you have any problems with this package you can open a new issue or check the already existing ones here.

 
 
To install this package, start R and enter:

source("https://neuroconductor.org/neurocLite.R")

# use release_versions() to find previous releases
neuro_install('ichseg', release_repo= 'https://neuroconductor.org/releases/2018/feb')

# Default Install
neuro_install('ichseg')

# From the Binary Repo in NeuroC
neuro_install('ichseg', release = "stable", release_repo = binary_release_repo(release = "stable"))
neuro_install('ichseg', release = "current", release_repo = binary_release_repo(release = "current"))

# from GitHub
neuro_install('ichseg', release = "stable", release_repo = "github")
neuro_install('ichseg', release = "current", release_repo = "github")

More detailed installation instructions can be found here.

 

Initially submitted on October 16 2018 10:16PM
Last updated on March 6 2019 12:01AM
Package type standard
Source GitHub https://github.com/muschellij2/ichseg.git GitHub
Neuroconductor GitHub https://github.com/neuroconductor/ichseg GitHub
DependsR (2.10)
Importsdcm2niir, stats, extrantsr (3.1), oro.nifti, neurobase (1.20.5), fslr (2.4), magic, randomForest, shiny
Suggestsdcmtk, tractor.base, dplyr, knitr