Artificial intelligence-driven enhanced skin cancer diagnosis: leveraging convolutional neural networks with discrete wavelet transformation

Egyptian Journal of Medical Human Genetics

Table 4 Comparison with various methods

Dataset	Method used	Accuracy (%)	References
ISIC2018	VGG19_2	76.6	[51]
ISIC2016	VGGNet	78.6	[52]
ISIC2018	CNN	83.1	[53]
	Resnet50	83.6	[53]
	Resnet50-Inception	84.1	[53]
	Inception V3	85.7	[53]
ISBI2017	AlexNet + VGGNet	79.9	[54]
ISBI2017	U-Net	80.0	[55]
2-ary, 3-ary, 9-ary	DenseNet	82	[56]
HAM10000	AlexNet	84	[57]
HAM10000	MobileNet	83.9	[58]
HAM10000	ANN	79.80	Proposed
HAM10000	Multilayer perceptron	70.50	Proposed
HAM10000	Softmax	94	Proposed

Compare with diverse methods to evaluate effectiveness, efficiency, and applicability across different scenarios