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Table 2 The 26 subsets belonging to six feature types

From: Prediction of extranodal extension in head and neck squamous cell carcinoma by CT images using an evolutionary learning model

 

Feature type

Subset of features

Number of features

1

Gray-Level Co-occurrence Matrix

Cluster Shade

20

Cluster Proximity

20

Contrast

20

Correlation

20

Different Entropy

20

Different Variance

20

Dissimilarity

20

Energy

20

Entropy

20

Homogeneity Normalized

20

Homogeneity

20

InfoCorrelation1

20

InfoCorrelation2

20

Max Probability

20

Sum Average

20

Sum Entropy

20

Sum of variance

20

Variance

20

2

Gray-Level Size Zone Matrix

GLSZM

11

3

Gray-Level

Gray level

11

4

LN morphology

3D Morphology

29

2D Morphology

24

5

LN boundary

Edge 3

6

Edge 5

6

Edge 10

6

6

Invariant moment

Invariant moment

7