Table 3 Calculated image region-of-interest features, as defined in the Supplementary Data of Aerts et al. [26]
Shape features | |
Compactness 1 | Spherical disproportion |
Compactness 2 | Surface area |
Maximum diameter | Surface-to-volume ratio |
Sphericity | Volume |
Statistical features | |
Energy | Minimum |
Entropy | Range |
Kurtosis | RMS |
Maximum | Skewness |
Mean | Standard deviation |
Mean absolute deviation | Variance |
Median | Uniformity |
Texture features | |
Autocorrelation | Inverse difference moment normalised |
Cluster prominence | Inverse difference normalised |
Cluster shade | Inverse variance |
Cluster tendency | Long run emphasis |
Contrast | Long run low grey level emphasis |
Correlation | Low grey level run emphasis |
Difference entropy | Maximum probability |
Dissimilarity | Run length non-uniformity |
Energy | Run percentage |
Entropy | Short run emphasis |
Grey level nonuniformity | Short run low grey level emphasis |
High grey level run emphasis | Short run high grey level emphasis |
Homogeneity 1 | Sum average |
Homogeneity 2 | Sum entropy |
Informational measure correlation 1 | Sum variance |
Informational measure correlation 2 | Short run emphasis |