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 >


From within R, enter citation('ichseg')

Muschelli J, Sweeney EM, Ullman NL, Vespa P, Hanley DF, Crainiceanu CM
(2017). "PItcHPERFeCT: Primary Intracranial Hemorrhage Probability
Estimation using Random Forests on CT." _NeuroImage: Clinical_, *14*,

A BibTeX entry for LaTeX users is

title = {{PItcHPERFeCT}: Primary Intracranial Hemorrhage Probability Estimation using Random Forests on {CT}},
author = {John Muschelli and Elizabeth M Sweeney and Natalie L Ullman and Paul Vespa and Daniel F Hanley and Ciprian M Crainiceanu},
journal = {NeuroImage: Clinical},
volume = {14},
pages = {379--390},
year = {2017},
publisher = {Elsevier},


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:


# Default Install

# 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 October 14 2019 9:12AM
Package type standard
Source GitHub GitHub
Neuroconductor GitHub GitHub
DependsR (2.10)
Importsdcm2niir, stats, extrantsr (3.1), oro.nifti, neurobase (, fslr (2.4), magic, randomForest, shiny
Suggestsdcmtk, tractor.base, dplyr, knitr