Table 5 Comparative analysis of the MFFDCNN-CTDC model on the HAM10000 dataset42,43.

From: Multi-scale feature fusion of deep convolutional neural networks on cancerous tumor detection and classification using biomedical images

HAM10000 Dataset

Methods

Accuracy

Sensitivity

Specificity

F-score

MFFDCNN-CTDC

99.02

87.86

99.12

89.47

AMCSCC-WHOEL

98.54

78.41

98.70

81.60

Ensemble CNN+SVM

96.52

76.22

78.66

76.39

MAFCNN-SCD

92.25

77.10

88.71

80.08

NB Methodology

89.80

74.73

84.05

81.10

Kernel-ELM

88.07

77.05

84.52

80.23

MSVM Method

87.18

75.48

83.23

80.48

MobileNet Model

85.06

74.20

88.01

80.20

DenseNet169 Model

89.45

76.86

86.31

81.05

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