Table 7.

Performance analysis of Modified U-Net with InceptionNet CNN models.

No. Classes	CNN Model	Performance Analysis on 90 CI
		Overall Average
		accuracy	Precision	Sensitivity	F1 score	Specificity	Inference time
Class 2	InceptionNet-1	99.74 ± 0.03	99.79 ± 0.03	99.71 ± 0.06	99.77 ± 0.05	99.77 ± 0.06	22.19
	InceptionNet-2	99.92 ± 0.01	99.94 ± 0.01	99.92 ± 0.01	99.92 ± 0.08	98.76 ± 0.4	29.71
	InceptionNet-3	99.87 ± 0.08	99.91 ± 0.08	99.87 ± 0.04	99.89 ± 0.03	99. 81± 0.05	39.45
Class 6	InceptionNet-1	97.12 ± 0.9	97.18 ± 0.9	97.12 ± 0.9	97.14 ± 0.23	99.51 ± 0.9	25.77
	InceptionNet-2	98.76 ± 0.18	98.79± 0.5	98.75 ± 0.3	98.76 ± 0.18	99.69 ± 0.06	42.05
	InceptionNet-3	99.32 ± 0.14	99.4 ± 0.19	99.28 ± 0.16	99.35 ± 0.26	99.83 ± 0.08	52.66
Class 10	InceptionNet-1	99.61 ± 0.06	98.72 ± 0.6	98.70 ± 0.8	98.70 ± 0.3	99.85 ± 0.07	44.54
	InceptionNet-2	99.90 ± 0.4	99.91 ± 0.3	99.89 ± 04.	99.90 ± 0.30	99.96 ± 0.08	53.63
	3	99.79 ± 0.08	99.23 ± 0.33	99.65 ± 0.14	99.44 ± 0.21	99.89 ± 0.05	59.85