Classification on Digital Pathological Images of Breast Cancer Based on Deep Features of Different Levels

Table 13

Results of feature extraction nodes on image-level accuracy and patient-level accuracy (/%).

Accuracy	Point location	Classifier	Magnifications
			40×	100×	200×	400×
Image-level	1	SVM	83.98 ± 2.90	84.99 ± 2.91	84.66 ± 2.41	82.78 ± 4.89
		LR	78.37 ± 2.72	81.03 ± 5.28	81.40 ± 7.19	80.04 ± 5.00
		GNB	61.96 ± 4.48	74.67 ± 6.82	78.38 ± 4.16	69.93 ± 6.29
		DT	80.60 ± 1.93	80.59 ± 3.29	84.02 ± 4.16	81.56 ± 3.73
		RF	80.43 ± 2.83	81.29 ± 2.93	84.48 ± 1.35	82.47 ± 3.61
		MFNN	79.56 ± 3.20	80.39 ± 4.76	81.76 ± 4.76	79.81 ± 7.76
	2	SVM	87.85 ± 2.69	86.68 ± 2.28	87.75 ± 2.37	85.30 ± 4.41
		LR	82.60 ± 3.34	82.48 ± 3.01	85.31 ± 2.20	82.89 ± 2.35
		GNB	81.17 ± 5.00	81.28 ± 3.30	85.91 ± 2.56	77.34 ± 6.61
		DT	80.88 ± 3.92	81.41 ± 2.33	85.33 ± 2.39	82.76 ± 2.90
		RF	80.60 ± 1.93	82.09 ± 2.82	85.68 ± 1.95	82.80 ± 3.9+
		MFNN	80.69 ± 3.15	82.94 ± 3.45	86.71 ± 3.14	83.34 ± 3.09
	3	SVM	84.91 ± 1.58	84.60 ± 1.78	87.38 ± 3.52	84.78 ± 4.89
		LR	81.00 ± 2.05	81.30 ± 1.30	85.23 ± 3.38	82.39 ± 4.94
		GNB	80.89 ± 3.88	81.36 ± 0.85	85.00 ± 3.15	80.48 ± 6.72
		DT	81.28 ± 2.40	80.94 ± 2.40	84.83 ± 2.46	81.89 ± 4.47
		RF	80.60 ± 1.93	81.31 ± 1.92	84.75 ± 2.51	82.43 ± 4.21
		MFNN	80.49 ± 2.85	84.69 ± 0.86	87.18 ± 3.63	82.80 ± 5.03
Patient-level	1	SVM	81.93 ± 3.92	80.96 ± 3.61	82.40 ± 2.37	81.17 ± 3.04
		LR	79.10 ± 3.91	80.81 ± 4.68	80.44 ± 5.33	78.21 ± 5.42
		GNB	68.16 ± 5.94	75.19 ± 3.35	78.94 ± 3.05	70.64 ± 6.80
		DT	79.81 ± 2.61	79.47 ± 3.72	83.63 ± 2.67	80.08 ± 3.13
		RF	80.67 ± 3.46	80.43 ± 3.17	83.76 ± 4.16	81.50 ± 2.91
		MFNN	80.34 ± 4.64	81.06 ± 4.53	81.92 ± 5.05	78.84 ± 3.72
	2	SVM	87.93 ± 3.91	87.41 ± 3.26	88.76 ± 2.50	85.55 ± 4.03
		LR	82.73 ± 2.84	82.76 ± 3.36	85.85 ± 2.90	81.60 ± 2.99
		GNB	78.65 ± 4.36	82.11 ± 3.92	84.47 ± 2.59	77.66 ± 5.07
		DT	81.57 ± 4.50	79.48 ± 3.32	85.15 ± 2.49	81.58 ± 2.84
		RF	80.96 ± 2.98	81.37 ± 3.55	84.54 ± 2.62	82.88 ± 2.90
		MFNN	83.32 ± 4.67	82.93 ± 4.72	87.64 ± 3.85	83.95 ± 2.63
	3	SVM	83.91 ± 0.96	83.49 ± 2.65	87.89 ± 3.46	82.28 ± 4.11
		LR	82.10 ± 0.97	82.44 ± 2.62	84.77 ± 3.75	81.10 ± 4.37
		GNB	82.35 ± 3.48	84.64 ± 1.39	83.93 ± 2.38	82.44 ± 5.14
		DT	80.82 ± 2.52	79.98 ± 2.54	84.97 ± 2.69	81.40 ± 4.12
		RF	80.72 ± 2.63	81.00 ± 2.77	84.42 ± 2.32	82.29 ± 3.92
		MFNN	82.58 ± 1.27	82.98 ± 2.83	87.95 ± 3.93	82.73 ± 3.88