Skip to main content

Table 3 Features showing high reproducibility from two experiments

From: Clinical impact of variability on CT radiomics and suggestions for suitable feature selection: a focus on lung cancer

 

Category

Parameter

Description / Interpretation

Experiment 1

Histogram-based features

Maximum

Measures maximum intensity value of histogram

Minimum

Measures minimum intensity value of histogram

Shape-based features

Maximum 3d diameter

Measures maximum 3D ROI diameter as the largest pairwise Euclidean distance between surface voxels of the ROI

Spherical disproportion

Ratio of the surface area of the ROI to the surface area of a sphere with the same volume as the ROI

Texture-based features (GLCM)

Custer tendency

Measures homogeneity of GLCM

Dissimilarity

Measures differences of entries in GLCM

Entropy

Measures irregularity of GLCM

Filter-based feature

Log Skewness (σ = 1)

Measurement of skewness of ROI image processed by log filter

Fractal-based feature

Lacunarity

Measure of the texture or distribution of gaps within an image

Experiment 2

Histogram-based features

Maximum

Same as experiment 1

Minimum

Same as experiment 1

Entropy

Measures irregularity of histogram

Texture-based features

Difference entropy

Measures entropy of processed GLCM matrix Px-y

Homogeneity

Measures closeness of GLCM