Table 5 Classification comparison with different methods.
From: Brain CT image classification based on mask RCNN and attention mechanism
Model | Accuracy/% | Precision/% | Recall/% | F1/% | Kappa/% |
|---|---|---|---|---|---|
CDL | 88.25 | 87.69 | 88.64 | 88.25 | 79.63 |
FACNN | 90.36 | 89.64 | 90.11 | 89.87 | 81.65 |
MMDL | 92.51 | 91.67 | 92.33 | 91.94 | 84.26 |
HIE | 94.77 | 93.55 | 94.67 | 94.12 | 88.59 |
Mask RCNN + TCCBAM-DResNet10 | 98.06 | 97.29 | 98.77 | 97.85 | 91.35 |
