first_order_features: First order features

In radiomics: 'Radiomic' Image Processing Toolbox

Description

First order features

Usage

calc_energy(data)

calc_entropy(data, base = 2, nbins = length(unique(c(data))))

calc_kurtosis(data)

calc_meanDeviation(data)

calc_skewness(data)

calc_uniformity(data, nbins = length(unique(c(data))))

calc_mean(data)

calc_median(data)

calc_max(data)

calc_min(data)

calc_variance(data)

calc_RMS(data)

calc_sd(data)

Arguments

data	Numeric 2D matrix data.
base	The base for which the logarithm is calculate
nbins	The number of bins the histogram is discretized into

Functions

• calc_energy: Energy (ASM)

• calc_entropy: Entropy

• calc_kurtosis: Kurtosis

• calc_meanDeviation: Mean Deviation

• calc_skewness: Skewness

• calc_uniformity: Uniformity

• calc_mean: Mean

• calc_median: Median

• calc_max: Maximum Value

• calc_min: Minimum Value

• calc_variance: Variance

• calc_RMS: Root Mean Squared

• calc_sd: Standard Deviation

References

http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0102107#s5

radiomics documentation built on May 2, 2019, 3:36 p.m.