Table 7.

Comparison between the performance of the proposed model with the related models for the 5-class classification.

	Standard DenseNet169	[13]	[24]	DHL II [35]	ResNet [29]	Adaptive DenseNet169
Precision	0.5822	0.5716	0.5873	0.581	0.583	0.5995
Recall	0.6059	0.5921	0.6174	0.604	0.61	0.622
F1 score	0.587	0.5735	0.5951	0.596	0.602	0.6059
Accuracy	0.6059	0.5921	0.6074	0.617	0.607	0.6274