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

Table 3 The selection times of features in the ensemble classifier consisting of 31 SVMs

Subset feature	Feature name	Times of selection
GLSZM	Low intensity small area emphasis	31
3D morphology	Orientation2	30
GLSZM	Zone%	29
GLSZM	High intensity large area emphasis	29
Grey level	Median	28
Grey level	Max Pixel Value	28
3D morphology	Orientation3	27
Grey level	Variance	26
GLSZM	small area emphasis	24
3D morphology	Solidity	21
3D morphology	Max radius	19
3D morphology	Area	18
Grey level	Energy	17
Sum of variance	D1A45	16
3D morphology	Compactness	16

ISSN: 1470-7330