Differentiation type | Metrics | VGG16 | ResNet50 | ResNet50_CBAM | SENet | SKNet |
---|---|---|---|---|---|---|
Poorly differentiated | Precision | 70.43 | 90.08 | 90.48 | 92.02 | 92.22 |
Recall | 77.98 | 96.43 | 95.24 | 99.41 | 96.43 | |
F1 Score | 74.01 | 93.15 | 92.80 | 95.11 | 94.28 | |
Moderate differentiation | Precision | 77.56 | 96.60 | 98.42 | 98.21 | 96.21 |
Recall | 79.12 | 90.99 | 94.28 | 92.59 | 93.94 | |
F1 Score | 78.33 | 93.71 | 96.30 | 95.32 | 95.06 | |
Well differentiated | Precision | 85.07 | 96.15 | 95.07 | 95.50 | 97.17 |
Recall | 73.08 | 95.94 | 94.76 | 95.30 | 95.30 | |
F1 Score | 78.62 | 96.04 | 94.92 | 95.40 | 96.22 |