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

Table 10

F1 score and BAC evaluation results at different magnifications (/%).

Evaluation	Strategy	Magnifications
		40×	100×	200×	400×
F1 score	Sliding	88.61 ± 1.64	88.69 ± 0.63	90.30 ± 2.15	88.07 ± 3.03
	Random	87.38 ± 1.95	89.04 ± 0.96	91.13 ± 3.01	87.28 ± 2.40
	Sliding + Random	89.31 ± 2.23	90.07 ± 0.82	90.97 ± 2.50	87.76 ± 1.45
	Sliding + Class Balance Random	89.99 ± 1.86	91.93 ± 0.71	92.03 ± 2.77	89.41 ± 4.31
BAC	Sliding	83.58 ± 2.04	83.75 ± 2.02	86.47 ± 4.37	82.55 ± 5.24
	Random	81.45 ± 2.45	83.92 ± 3.56	86.99 ± 4.48	81.14 ± 4.33
	Sliding + Random	84.73 ± 3.00	85.86 ± 2.24	87.05 ± 4.50	82.07 ± 3.43
	Sliding + Class Balance Random	85.49 ± 2.07	86.02 ± 3.31	88.00 ± 5.66	83.75 ± 6.28