Skip to main content

Table 5 Classification accuracy of histopathological images of liver cancer

From: Classification of multi-differentiated liver cancer pathological images based on deep learning attention mechanism

Classifier

Poorly differentiated

Moderate differentiation

Well differentiated

Accuracy

VGG16

77.98

79.12

73.08

76.95

ResNet50

96.43

90.99

95.94

94.22

ResNet50_CBAM

95.24

94.28

94.76

94.73

SENet

98.41

92.59

95.30

95.27

SKNet

96.43

93.94

95.30

95.15

  1. Bold indicates the highest accuracy
  2. Unit:%