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Table 2 The coefficient, and sigma of LoG filter for the eight features adopted in the enhanced prediction model

From: Local tuning of radiomics-based model for predicting pathological response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer

Feature name

Sigma of LoG filter

Coefficient

Sum entropy

0.65

1.45E0

Surface to volume ratio

0.7

5.67E−01

Entropy

0.5

 − 1.46E−01

Age

 − 7.7E−03

High grey level run emphasis

0.6

1.27E−03

Sum variance

0.65

1.26E−03

Mean intensity

0.65

 − 4.57E−04

High grey level run emphasis 1

0.6

3.16E−07

Cluster tendency

0.65

2.37E−17