Research Article
SOSPCNN: Structurally Optimized Stochastic Pooling Convolutional Neural Network for Tetralogy of Fallot Recognition
Table 6
Statistical analysis without multiple-way data augmentation.
| Run | Sen | Spc | Prc | Acc | F1 | MCC | FMI |
| 1 | 87.50 | 90.00 | 89.74 | 88.75 | 88.61 | 77.52 | 88.61 | 2 | 90.00 | 87.50 | 87.80 | 88.75 | 88.89 | 77.52 | 88.90 | 3 | 87.50 | 87.50 | 87.50 | 87.50 | 87.50 | 75.00 | 87.50 | 4 | 90.00 | 87.50 | 87.80 | 88.75 | 88.89 | 77.52 | 88.90 | 5 | 85.00 | 90.00 | 89.47 | 87.50 | 87.18 | 75.09 | 87.21 | 6 | 85.00 | 90.00 | 89.47 | 87.50 | 87.18 | 75.09 | 87.21 | 7 | 82.50 | 92.50 | 91.67 | 87.50 | 86.84 | 75.38 | 86.96 | 8 | 87.50 | 87.50 | 87.50 | 87.50 | 87.50 | 75.00 | 87.50 | 9 | 85.00 | 90.00 | 89.47 | 87.50 | 87.18 | 75.09 | 87.21 | 10 | 82.50 | 92.50 | 91.67 | 87.50 | 86.84 | 75.38 | 86.96 | MSD | 86.25 ± 2.70 | 89.50 ± 1.97 | 89.21 ± 1.58 | 87.87 ± 0.60 | 87.66 ± 0.82 | 75.86 ± 1.16 | 87.70 ± 0.79 |
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