getLesionFeatures: Feature computation to use in LINDA
In neuroconductor/LINDA: Lesion Identification with Neighborhood Data Analysis
Description
Usage
Arguments
Value
View source: R/getLesionFeatures.R
Description
Feature computation to use in LINDA
Usage
1
getLesionFeatures(img, template, bmask, sigma = 2, verbose = TRUE)
Arguments
img
subject scan (antsImage)
template
template (antsImage)
bmask
subject brain mask (antsImage)
sigma
(default=2) smoothing parameter
verbose
(default=TRUE) whether to display
console messages
Value
list of six features (antsImages)
neuroconductor/LINDA documentation built on May 21, 2020, 3:34 p.m.
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Description Usage Arguments Value
View source: R/getLesionFeatures.R
Description
Feature computation to use in LINDA
Usage
1 | getLesionFeatures(img, template, bmask, sigma = 2, verbose = TRUE)
|
Arguments
img |
subject scan (antsImage) |
template |
template (antsImage) |
bmask |
subject brain mask (antsImage) |
sigma |
(default=2) smoothing parameter |
verbose |
(default=TRUE) whether to display console messages |
Value
list of six features (antsImages)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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