radiomics_first: Calculate first order radiomic features on a 2D or 3D array
In muschellij2/lungct: Processing of Lung Computed Tomography ('CT') Scans
Description
Usage
Arguments
Value
View source: R/radiomics_first.R
Description
Calculate first order radiomic features on a 2D or 3D array
Usage
1
2
3
4
5
radiomics_first(
data,
features = c("mean", "sd", "skew", "kurtosis", "min", "q1", "median", "q3", "max",
"energy", "rms", "uniformity", "entropy")
)
Arguments
data
Any 2D or 3D image (as matrix or array) to calculate first-order features
features
= first level radiomic features to calculate
Value
Values from selected features
muschellij2/lungct documentation built on July 13, 2020, 2:17 p.m.
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Description Usage Arguments Value
View source: R/radiomics_first.R
Description
Calculate first order radiomic features on a 2D or 3D array
Usage
1 2 3 4 5 | radiomics_first(
data,
features = c("mean", "sd", "skew", "kurtosis", "min", "q1", "median", "q3", "max",
"energy", "rms", "uniformity", "entropy")
)
|
Arguments
data |
Any 2D or 3D image (as matrix or array) to calculate first-order features |
features |
= first level radiomic features to calculate |
Value
Values from selected features
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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