mrvnrfs.predict

a list of random forest models from mrvnrfs

rflist

a list of lists where each list contains feature images

a mask (or list of masks) used to define the area to predict.
This is used to save time by contstrain the prediction in within the brain.

labelmasks

vector of dimensionality d define nhood radius

an integer vector defining multi-res levels

multiResSchedule

asFactors

value of maximal voxels to predict at once. This value
is used to split the prediction into smaller chunks such that memory
requirements do not become too big

voxchunk


Represents multiscale feature images as a neighborhood and uses the features
to apply a random forest segmentation model to a new image


ANTsR interfaces state of the art image processing with R
statistical methods. The project grew out of the need, at University of
Pennsylvania, to develop large-scale analytics pipelines that track provenance
from scanner to scientific study. ANTsR wraps an ANTs and ITK C++ core via Rcpp
to access these frameworks from within R and support reproducible analyses.
Specialized functionality in ANTsR includes image segmentation and
registration along imaging specific variations of principal component
and canonical correlation analysis.

mrvnrfs.predict: multi-res voxelwise neighborhood random forest segmentation

Description

Usage

Arguments

Value