Table 1.

Comparative analysis of the performance metrics.

Name of the model	Accuracy	Precision	Recall/sensitivity	Specificity	F1-Score
DenseNet 121	97.22	97.58	96.83	97.60	97.20
AlexNet	95.62	95.24	95.97	95.28	95.60
VGG - 16	95.37	94.99	95.59	95.16	95.29
ResNet -50	97.55	97.23	97.90	97.19	97.90
FastAi	97.38	97.27	97.42	97.32	97.35
ResNet 152 without Deep Greedy Network	95.66	93.28	97.94	93.58	95.56
ResNet 152 with Deep Greedy Network (proposed model)	98.25	98.40	98.11	98.39	98.26