rfSegmentationPredict: A rfSegmentationPredict function.

In neuroconductor-devel/ANTsR: ANTs in R: Quantification Tools for Biomedical Images

Description

Predict image segmentation via random forests.

Usage

rfSegmentationPredict(
  rfSegmentationModel,
  featureMatrix,
  mask,
  verbose = FALSE
)

Arguments

rfSegmentationModel	input rf model
featureMatrix	input feature matrix
mask	antsImage mask
verbose	bool

Value

segmentation is output

Author(s)

Tustison NJ, Avants BB

Examples

if ( usePkg('randomForest') ) {
img<-antsImageRead( getANTsRData("r16"))
mask<-getMask( img )
mask2<-getMask( img )
mask [ 129:255, 1:255 ]<-0
mask2[ 2:128, 1:255 ]<-0
segs<-kmeansSegmentation( img, k=3, kmask = mask)
fmat = t( antsrimpute( getNeighborhoodInMask( img, mask, c(2,2) ) ) )
rfsegs<-rfSegmentation(  fmat, mask, segs$segmentation, ntrees=100 )
fmat2 = t( antsrimpute( getNeighborhoodInMask( img, mask2, c(2,2) ) ) )
rfseg2<-rfSegmentationPredict(  rfsegs$rfModel , fmat2 , mask2 )
}

neuroconductor-devel/ANTsR documentation built on April 1, 2021, 1:02 p.m.