Table 1 Radiomic features.

From: A PET Radiomics Model to Predict Refractory Mediastinal Hodgkin Lymphoma

Category

Features

Intensity histogram

Global Entropy

Global Uniformity

Global Max

Inter quartile Range

Global Mean

Kurtosis

Global standard deviation

Skewness

GLCM2.5D*

Auto Correlation

Contrast

Energy

Information Measure 1

Inverse Variance

Sum Variance

Cluster Prominence

Correlation

Entropy

Information Measure 2

Max probability

Variance

Cluster Shade

Difference Entropy

Homogeneity

Inverse Diff. Norm

Sum Average

Cluster Tendency

Dissimilarity

Homogeneity 2

Inverse Diff. Moment Norm

Sum Entropy

Shape

Max 3D Diameter

Volume

Roundness

 
  1. *Gray-Level Co-Occurrence Matrix, computed in 2.5D fashion.