Lung extraction — lungExtraction • ANTsRNet

Perform lung extraction.

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

Tustison NJ

Examples

if (FALSE) {
library( ANTsRNet )
library( keras )

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