MAE: Mean absolute error of a single image or between two images.
In ANTsX/ANTsRNet: Neural Networks for Medical Image Processing
View source: R/superResolutionUtilities.R
MAE R Documentation
Mean absolute error of a single image or between two images.
Description
Mean absolute error of a single image or between two images.
Usage
MAE(x, y = NULL)
Arguments
x
input image.
y
input image.
Value
the mean absolute error
Author(s)
Avants BB (from redr)
Examples
library( ANTsR )
r16 <- antsImageRead( getANTsRData( 'r16' ) )
r85 <- antsImageRead( getANTsRData( 'r85' ) )
maeValue <- MAE( r16, r85 )
ANTsX/ANTsRNet documentation built on April 23, 2024, 1:24 p.m.
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View source: R/superResolutionUtilities.R
| MAE | R Documentation |
Mean absolute error of a single image or between two images.
Description
Mean absolute error of a single image or between two images.
Usage
MAE(x, y = NULL)
Arguments
x |
input image. |
y |
input image. |
Value
the mean absolute error
Author(s)
Avants BB (from redr)
Examples
library( ANTsR )
r16 <- antsImageRead( getANTsRData( 'r16' ) )
r85 <- antsImageRead( getANTsRData( 'r85' ) )
maeValue <- MAE( r16, r85 )
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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