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Table 12 Confusion matrix for all set of extracted features using ISIC-UDA dataset

From: An implementation of normal distribution based segmentation and entropy controlled features selection for skin lesion detection and classification

Class

Total images

Melanoma

Benign

Confusion matrix: Proposed features fusion and selection

Melanoma

93

95.7%

4.3%

Benign

140

-

100%

Confusion matrix: Harlick features

Melanoma

93

55.9%

44.1%

Benign

140

8.6%

91.4%

Confusion matrix: HOG features

Melanoma

93

68.8%

31.2%

Benign

140

3.6%

96.4%

Confusion matrix: Color features

Melanoma

93

92.5%

7.5%

Benign

140

2.1%

97.9%