Table 2 Radiomics features selected for quantifying the heterogeneity differences
Radiomics group | Associated filter | Number of features | Radiomics features |
|---|---|---|---|
First-order statistics | None | 126 | Energy, total energy, entropy, minimum, 10 percentile, 90 percentile, maximum, mean, median, interquartile range, range, mean absolute deviation, robust mean absolute deviation, root mean square, standard deviation, skewness, kurtosis, variance |
Shape | None | 14 | Volume, surface area, surface volume ratio, spherical disproportion, maximum 3D diameter, maximum 2D diameter column, maximum 2D diameter row, elongation |
Texture features | GLCM | 525 | Autocorrelation, average intensity, cluster prominence, cluster shade, cluster tendency, contrast, difference average, difference entropy, difference variance, dissimilarity, entropy, sum average, sum entropy, sum variance, sum squares |
Texture features | GLSZM | Large area emphasis, gray level non-uniformity, size zone non-uniformity, gray-level variance, zone entropy, high gray-level zone emphasis, small area high gray-level emphasis, large area high gray-level emphasis | |
Texture features | GLRLM | Gray-level non-uniformity, run length non-uniformity, gray level variance, run entropy, high gray-level run emphasis, short run high gray-level emphasis, long run high level emphasis |