Research Article
Cobb Angle Measurement of Spine from X-Ray Images Using Convolutional Neural Network
Table 3
Quantitative evaluation of the segmented results of U-Net, Residual U-Net, and Dense U-Net.
| Methods | Dice similarity coefficient (DSC) | Jaccard similarity coefficient (JS) | Mean square error (MSE) | Accuracy (AC) | Sensitivity (SE) | Specificity (SP) |
| U-Net | 0.941 ± 0.034 | 0.891 ± 0.057 | 0.030 ± 0.016 | 0.961 ± 0.022 | 0.980 ± 0.016 | 0.945 ± 0.038 | Residual U-Net | 0.951 ± 0.027 | 0.908 ± 0.046 | 0.025 ± 0.012 | 0.969 ± 0.016 | 0.982 ± 0.013 | 0.958 ± 0.029 | Dense U-Net | 0.948 ± 0.028 | 0.902 ± 0.048 | 0.027 ± 0.013 | 0.966 ± 0.017 | 0.982 ± 0.014 | 0.952 ± 0.031 |
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