Table 3 Normal and abnormal results using GLRLM + GLCM + 1st order statistics.

From: Innovative deep learning classifiers for breast cancer detection through hybrid feature extraction techniques

Feature

Direction

Normal

Abnormal

p-value

Energy

0

0.93

0.6

0.0033

45

0.95

0.69

< 0.0003

90

0.93

0.93

< 0.0003

135

0.92

0.69

< 0.0003

Entropy

0

0.65

0.6

0.0033

45

0.95

0.69

< 0.0003

90

0.93

0.93

< 0.0003

135

0.92

0.69

< 0.0003

Contrast

0

0.65

0.6

0.0033

45

0.95

0.69

< 0.0003

90

0.93

0.93

< 0.0003

135

0.92

0.69

< 0.0003

Homogeneity

0

0.65

0.6

0.0033

45

0.95

0.69

< 0.0003

90

0.93

0.93

< 0.0003

135

0.92

0.69

< 0.0003

0

0.65

0.6

0.0033

Correlation

45

0.95

0.69

< 0.0003

90

0.93

0.93

< 0.0003

135

0.92

0.69

< 0.0003

0

0.65

0.6

0.0033

Shade

45

0.95

0.69

< 0.0003

90

0.93

0.93

< 0.0003

135

0.92

0.69

< 0.0003

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