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Table 9 Confusion matrix for all set of extracted features using ISIC-MSK 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 130 99.2% 1%
Benign 160 4.4% 95.6%
Confusion matrix: Harlick features
Melanoma 130 73.8% 26.2%
Benign 160 8.8% 91.3%
Confusion matrix: HOG features
Melanoma 130 99.2% 0.8%
Benign 160 5.0% 95.0%
Confusion matrix: Color features
Melanoma 130 96.2% 3.8%
Benign 160 3.8% 96.3%