Research Article
Cascade and Fusion of Multitask Convolutional Neural Networks for Detection of Thyroid Nodules in Contrast-Enhanced CT
Table 3
Performance comparison of different methods (percent).
| Method | Accuracy | Recall | Precision | Specificity | F1 score | AUC | CI |
| CNN-F | 95.73 | 87.14 | 98.10 | 99.30 | 92.30 | 98.49 (0.0029) | [97.91 99.06] | CNN-1 | 94.98 | 88.66 | 93.91 | 97.61 | 91.21 | 97.83 (0.0033) | [97.18 98.49] | CNN-2 | 93.14 | 84.10 | 91.87 | 96.90 | 87.81 | 95.63 (0.0052) | [94.60 96.66] | ResNet50 | 93.28 | 82.20 | 94.17 | 97.89 | 87.78 | 97.41 (0.003) | [97.26 98.28] | InceptionV3 | 93.78 | 87.29 | 91.15 | 96.48 | 89.18 | 97.31 (0.0054) | [96.85 98.46] | VGG-16 | 92.79 | 83.90 | 90.83 | 96.48 | 87.22 | 96.82 (0.0046) | [96.33 97.31] | Peng et al. [11] | 88.80 | 82.10 | 91.70 | 93.30 | — | 95.30 | — | Liu et al. [12] | 86.73 | 91.30 | 82.35 | 82.96 | — | 91.05 | — |
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Number format of AUC: mean (standard deviation).
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