Research Article

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

Table 17

Literature comparison results on image-level accuracy (/%).

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Literature [12]
Literature [22]85.60 ± 4.8083.50 ± 3.9082.70 ± 1.7080.30 ± 2.90
Literature [23]84.60 ± 2.9084.80 ± 4.2084.20 ± 1.7081.60 ± 3.70
Literature [24]87.80 ± 5.6085.60 ± 4.3080.80 ± 2.8082.90 ± 4.10
Literature [27]
Our method87.85 ± 2.6986.68 ± 2.2887.75 ± 2.3785.30 ± 4.41