Table 1 Summary of radiomics features.
From: Radiomics-based Prognosis Analysis for Non-Small Cell Lung Cancer
Feature group | Number of features | Description |
|---|---|---|
Statistical - First order | 11 | ROI Size (# of pixels), ROI size (mm2), Mean gray level, Standard Deviation, Median gray level, Min ROI, Max ROI, Mean Positive Values, Uniformity, Kurtosis, Skewness |
Textural - Second order | 19 | Contrast, Energy, Correlation, Homogeneity, Entropy, Normalized Entropy, Variance, Inverse Difference Moment, Sum of Average, Sum of Variance, Sum of Entropy, Difference of Variance, Difference of Entropy, Information Measure of Correlation, Autocorrelation, Dissimilarity, Cluster Shade, Cluster Prominence, Maximum Probability |
