Table 6.

Comparison between the performance of the proposed model with the related models for 3-class classification.

	Standard DenseNet169	[13]	[24]	DHL II [35]	ResNet [29]	Adaptive DenseNet169
Precision	0.9241	0.9107	0.9132	0.867	0.86	0.9315
Recall	0.8954	0.884	0.892	0.88	0.875	0.9058
F1 score	0.9075	0.9021	0.9027	0.898	0.884	0.9132
Accuracy	0.9054	0.8979	0.8979	0.893	0.881	0.9179