ich_segment: Predict ICH Segmentation

In neuroconductor-devel/ichseg: Intracerebral Hemorrhage Segmentation of X-Ray Computed Tomography (CT) Images

Description

Will preprocess and predict the ICH voxels

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

img	CT image, object of class nifti or character filename
...	Additional options passsed to ich_preprocess
verbose	Print diagnostic output
shiny	Should shiny progress be called?
model	model to use for prediction, either the random forest (rf) or logistic
outfile	filename for native-space, smoothed, thresholded image.
mask	binary brain mask, object of class nifti or character filename
save_imgs	Logical to save all images that are created as predictors
outdir	Output directory of saved images, needs to be set if save_imgs = TRUE
stub	Basename to write image names if save_imgs = TRUE
roi	Filename of ROI, which will be transformed
erode_mask	Should the brain mask be eroded?

Value

List of output prediction/probability images

neuroconductor-devel/ichseg documentation built on Sept. 5, 2019, 8:01 p.m.