mrvnrfs.predict | R Documentation |
Represents multiscale feature images as a neighborhood and uses the features to apply a random forest segmentation model to a new image
mrvnrfs.predict(
rflist,
x,
labelmasks,
rad = NA,
multiResSchedule = c(4, 2, 1),
asFactors = TRUE,
voxchunk = 60000
)
rflist |
a list of random forest models from mrvnrfs |
x |
a list of lists where each list contains feature images |
labelmasks |
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. |
rad |
vector of dimensionality d define nhood radius |
multiResSchedule |
an integer vector defining multi-res levels |
asFactors |
boolean - treat the y entries as factors |
voxchunk |
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 |
list a 4-list with the rf model, training vector, feature matrix and the random mask
Avants BB, Tustison NJ, Pustina D
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.