lungExtraction: Lung extraction

In ANTsX/ANTsRNet: Neural Networks for Medical Image Processing

Lung extraction

Description

Perform lung extraction.

Usage

lungExtraction(
  image,
  modality = c("proton", "protonLobes", "maskLobes", "ct", "ventilation", "xray"),
  antsxnetCacheDirectory = NULL,
  verbose = FALSE
)

Arguments

image	input 3-D lung image.
modality	image type. Options include "proton", "ct", or "ventilation".
antsxnetCacheDirectory	destination directory for storing the downloaded template and model weights. Since these can be resused, if is.null(antsxnetCacheDirectory), these data will be downloaded to the subdirectory ~/.keras/ANTsXNet/.
verbose	print progress.

Value

segmentation and probability images

Author(s)

Tustison NJ

Examples

## Not run: 
library( ANTsRNet )
library( keras )

image <- antsImageRead( "lung.nii.gz" )
output <- lungExtraction( image, modality = "proton" )

## End(Not run)

ANTsX/ANTsRNet documentation built on April 28, 2024, 12:16 p.m.