deepbleed: DeepBleed Model

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

Description

DeepBleed Model

Usage

download_deepbleed_model(outdir = NULL)

load_deepbleed_model(outdir = NULL)

predict_deepbleed(image, mask = NULL, verbose = TRUE, ..., outdir = NULL)

Arguments

outdir	Output directory for 'DeepBleed' model
image	image to segment using 'DeepBleed' model
mask	brain mask image
verbose	print diagnostic messages
...	additional arguments to send to CT_Skull_Stripper_mask

Value

A list of the output images and predictions.

Note

https://github.com/muschellij2/deepbleed

Examples

destfile = file.path(tempdir(), "01.tar.xz")
dl = download.file(
  "https://archive.data.jhu.edu/api/access/datafile/1311?gbrecs=true",
  destfile = destfile)
res = untar(tarfile = destfile, exdir = tempdir())
fname = file.path(tempdir(), "01", "BRAIN_1_Anonymized.nii.gz")
mask = file.path(tempdir(), "01", "BRAIN_1_Anonymized_Mask.nii.gz")
tdir = tempfile()
dir.create(tdir)
download_deepbleed_model(outdir = tdir)
mod = load_deepbleed_model(outdir = tdir)
predict_deepbleed(fname, mask = mask, outdir = tdir)

neuroconductor/ichseg documentation built on Sept. 29, 2020, 2:31 p.m.