From: Oral epithelial dysplasia detection and grading in oral leukoplakia using deep learning
 | Accuracy (%) | 95% CI (%) | AUC | 95% CI |
---|---|---|---|---|
ShuffleNet-V2 | Â | Â | Â | Â |
224 px & 10× | 91.1 | (90.5, 91.8) | 0.957 | (0.952, 0.962) |
224 px & 20× | 89.0 | (88.7, 89.4) | 0.957 | (0.955, 0.959) |
512 px & 10× | 72.6 | (70.3, 75.0) | 0.729 | (0.692, 0.763) |
512 px & 20× | 80.8 | (79.8, 81.8) | 0.809 | (0.794, 0.823) |
ResNet-50 | Â | Â | Â | Â |
224 px & 10× | 90.6 | (89.9, 91.3) | 0.954 | (0.949, 0.960) |
224 px & 20× | 88.0 | (87.6, 88.4) | 0.930 | (0.926, 0.933) |
512 px & 10× | 72.6 | (70.3, 75.0) | 0.633 | (0.598, 0.666) |
512 px & 20× | 85.1 | (84.2, 86.0) | 0.894 | (0.884, 0.903) |
Inception-V4 | Â | Â | Â | Â |
224 px & 10× | 93.8 | (93.3, 94.4) | 0.979 | (0.976, 0.983) |
224 px & 20× | 94.9 | (94.6, 95.1) | 0.987 | (0.986, 0.988) |
512 px & 10× | 75.2 | (73.0, 77.5) | 0.603 | (0.565, 0.640) |
512 px & 20× | 82.5 | (81.5, 83.5) | 0.772 | (0.755, 0.788) |
EfficientNet-B0 | Â | Â | Â | Â |
224 px & 10× | 92.8 | (92.3, 93.4) | 0.966 | (0.961, 0.971) |
224 px & 20× | 97.5 | (97.3, 97.6) | 0.993 | (0.992, 0.994) |
512 px & 10× | 76.6 | (74.4, 78.9) | 0.741 | (0.709, 0.774) |
512 px & 20× | 89.6 | (88.8, 90.4) | 0.928 | (0.919, 0.937) |