Table 2 Comparative analysis of different models trained using our proposed CCS-based self-training technique with standard self-training in terms of average accuracy (Avg. Acc), mean intersection over union (mIoU), and dice similarity score.
From: Dental caries detection using a semi-supervised learning approach
Standard self-training | CCS-based self-training | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
Teacher model | Student model | Backbone | Avg. Acc | mIoU | Dice | Teacher model | Student model | Backbone | Avg. Acc | mIoU | Dice |
Deeplabv3 (ResNet-101) | Deeplabv3 | ResNet-50 | 91.77 | 45.07 | 0.45 | Deeplabv3 (ResNet-101) | Deeplabv3 | ResNet-50 | 94.57 | 46.35 | 0.46 |
ResNet-101 | 93.22 | 47.83 | 0.47 | ResNet-101 | 99.43 | 50.73 | 0.50 | ||||
Mobilenet-v3 | 90.15 | 44.38 | 0.44 | Mobilenet-v3 | 95.08 | 45.60 | 0.45 | ||||
FCN | ResNet-50 | 90.04 | 44.81 | 0.44 | FCN | ResNet-50 | 97.61 | 47.52 | 0.47 | ||
ResNet-101 | 92.98 | 45.95 | 0.45 | ResNet-101 | 95.84 | 45.87 | 0.45 | ||||
LRASPP | Mobilenet-v3 | 87.41 | 42.73 | 0.42 | LRASPP | Mobilenet-v3 | 91.72 | 40.16 | 0.40 | ||
