Table III.
Quantitative segmentation accuracy of the proposed algorithm. Mean ± standard deviation of the error metrics for different ROIs. Twenty-nine images were used for training the algorithm. Npat and NImg are the number of patients and the number of test images, respectively.
| ROI | NPat | NImg | MAD (mm) | HDist (mm) | DSC (%) | SR (%) | PR (%) | ΔV (cm3) | ΔV (%) |
|---|---|---|---|---|---|---|---|---|---|
| Whole Gland | 14 | 14 | 1.4 ± 0.4 | 8.5 ± 2.0 | 86 ± 3 | 80 ± 6 | 93 ± 3 | −3.7 ± 3.1 | −17 ± 11 |
| Apex | 1.5 ± 0.6 | 7.6 ± 2.1 | 82 ± 6 | 76 ± 10 | 92 ± 6 | −1.3 ± 1.8 | −23 ± 20 | ||
| Mid-Gland | 1.3 ± 0.4 | 6.9 ± 2.2 | 90 ± 3 | 87 ± 7 | 93 ± 5 | −1.0 ± 1.4 | −9 ± 13 | ||
| Base | 1.3 ± 0.4 | 6.9 ± 2.1 | 84 ± 3 | 76 ± 6 | 94 ± 4 | −1.5 ± 1.1 | −24 ± 11 |