minSegDistance: Metric displacement of binary masks

In neuroconductor-releases/LESYMAP: Lesion to Symptom Mapping in R

Description

This function computes the metric displacement between two binary masks

Usage

minSegDistance(manual, predict, get = "all", binarize = F, label = 1)

Arguments

manual	manual segmentation of class antsImage, used as reference
predict	other antsImage to compare to manual
get	(default='all') one of 'mean', 'max', 'min', or 'all'
binarize	logical (default=FALSE) whether to binarize the input images
label	(default=1) integer or vector of labels to binarize I.e., label=c(2,4) means label 2 from manual, and 4 from predict will be compared.

Value

Scalar (for 'mean', 'max', 'min') or list (for 'all'). Note, results are in milimeters

Note

max = Hausdorff distance

Author(s)

Dorian Pustina

neuroconductor-releases/LESYMAP documentation built on Nov. 13, 2020, 11:28 p.m.