Table 2.

Confusion matrixes and performance metrics of (A) ResNet50 and (B) InceptionV3.

(A)	Tissue		Prediction of ResNet50						(B)	Tissue		Prediction of Inception V3
			Cortex	Medulla	Calyx	Fat	Pelvis	Tumor				Cortex	Medulla	Calyx	Fat	Pelvis	Tumor
				True	Cortex	9875	75	23				27	0	0		True	Cortex	9964	1	1	34	0	0
	Medulla	43	9956		1	0	0	0		Medulla	15	9978	7	0	0		0
	Calyx	136	15		9553	148	0	148		Calyx	69	38	9639	0	0		254
	Fat	199	0		56	9745	0	0		Fat	121	0	30	9822	0		27
	Pelvis	0	0		21	0	9969	10		Pelvis	0	11	15	1	9973		0
	Tumor	123	0		0	9	2	9866		Tumor	10	0	22	0	0		9968

	Tissue	Accuracy	Precision	Recall	F1 Score		Tissue	Accuracy	Precision	Recall	F1 Score
	Cortex	98.96	95.19	98.75	96.92		Cortex	99.58	97.89	99.64	98.76
	Medulla	99.78	99.10	99.56	99.33		Medulla	99.88	94.50	99.78	99.64
	Galyx	99.09	96.95	95.53	97.21		Calyx	99.27	99.22	94.39	96.74
	Fat	99.27	98.15	97.45	97.80		Fat	99.65	99.64	98.22	98.92
	Pelvis	99.95	99.98	99.69	99.83		Pelvis	99.95	100.00	99.73	99.86
	Tumor	99.51	98.43	98.66	98.54		Tumor	99.48	97.26	99.68	98.46