Table 1.
Segmentation accuracy on 18 6-month-old infant images, and diagnosis accuracy on other 59 infant subjects (29 autistics and 30 normal controls) from NDAR. The bold values indicate that our proposed method is significantly better than others with p-value < 0.005.
Method | Dice ratio (%) | MHD (mm) | Accuracy & AUC | ||||
---|---|---|---|---|---|---|---|
CSF | GM | WM | CSF | GM | WM | ||
SegNet [21] | 89.5 ± 1.41 | 75.5 ± 0.96 | 80.6 ± 1.23 | 8.81 ± 1.11 | 7.80 ± 1.49 | 9.11 ± 1.10 | 0.67, 0.43 |
U-Net [12] | 92.7 ± 0.89 | 89.0 ± 0.56 | 91.9 ± 0.43 | 6.68 ± 0.80 | 6.62 ± 0.74 | 6.79 ± 0.61 | 0.78, 0.53 |
Bui et al. [22] | 92.3 ± 0.85 | 88.5 ± 0.57 | 91.6 ± 0.44 | 6.59 ± 0.86 | 6.97 ± 1.22 | 8.08 ± 2.09 | 0.87, 0.51 |
Proposed | 95.8 ± 0.58 | 92.3 ± 0.54 | 93.3 ± 0.43 | 5.59 ± 0.72 | 5.84 ± 0.88 | 5.05 ± 1.10 | 0.90, 0.98 |