% Generated by roxygen2: do not edit by hand

% Please edit documentation in R/ich_segment.R

\name{ich_segment}

\alias{ich_segment}

\alias{ich_process_predictors}

\title{Predict ICH Segmentation}

\usage{

ich_segment(

  img,

  ...,

  verbose = TRUE,

  shiny = FALSE,

  model = c("rf", "logistic", "big_rf"),

  outfile = NULL

)

ich_process_predictors(

  img,

  mask = NULL,

  save_imgs = FALSE,

  outdir = NULL,

  stub = NULL,

  verbose = TRUE,

  shiny = FALSE,

  roi = NULL,

  erode_mask = TRUE,

  ...

)

}

\arguments{

\item{img}{CT image, object of class \code{nifti} or

character filename}

\item{...}{Additional options passsed to \code{\link{ich_preprocess}}}

\item{verbose}{Print diagnostic output}

\item{shiny}{Should shiny progress be called?}

\item{model}{model to use for prediction,

either the random forest (rf) or logistic}

\item{outfile}{filename for native-space, smoothed,

thresholded image.}

\item{mask}{binary brain mask, object of class \code{nifti} or

character filename}

\item{save_imgs}{Logical to save all images that are created as

predictors}

\item{outdir}{Output directory of saved images, needs to be set

if \code{save_imgs = TRUE}}

\item{stub}{Basename to write image names if \code{save_imgs = TRUE}}

\item{roi}{Filename of ROI, which will be transformed}

\item{erode_mask}{Should the brain mask be eroded?}

}

\value{

List of output prediction/probability images

}

\description{

Will preprocess and predict the ICH voxels

}