TABLE 1.
Summary of segmentation performance using different networks
| Model type | Volume group | DSCV Mean ± SD (minimum, maximum) 95% CI | SV Mean ± SD (minimum, maximum) 95% CI | PV Mean ± SD (minimum, maximum) 95% CI | 95-HD (mm) Mean ± SD (minimum, maximum) 95% CI |
|---|---|---|---|---|---|
| SPCT | Small | 0.58 ± 0.04 | 0.71 ± 0.03 | 0.68 ± 0.03 | 9.34 ± 1.62 |
| (0.52, 0.65) | (0.65, 0.75) | (0.63, 0.72) | (7.68, 14.62) | ||
| (0.56, 0.60) | (0.69, 0.73) | (0.66, 0.70) | (8.46, 10.22) | ||
| Medium | 0.72 ± 0.03 | 0.75 ± 0.02 | 0.74 ± 0.02 | 6.78 ± 1.25 | |
| (0.66, 0.81) | (0.72, 0.82) | (0.71, 0.83) | (4.57, 9.68) | ||
| (0.71, 0.73) | (0.74, 0.76) | (0.73, 0.75) | (6.39, 7.17) | ||
| Large | 0.67 ± 0.05 | 0.72 ± 0.03 | 0.73 ± 0.02 | 8.76 ± 1.88 | |
| (0.62, 0.74) | (0.69, 0.76) | (0.69, 0.77) | (5.26, 13.31) | ||
| (0.64, 0.70) | (0.70, 0.74) | (0.72, 0.74) | (7.74, 9.78) | ||
| All | 0.68 ± 0.12 | 0.74 ± 0.06 | 0.72 ± 0.07 | 7.65 ± 2.86 | |
| (0.52, 0.81) | (0.65, 0.82) | (0.63, 0.83) | (4.57, 14.62) | ||
| (0.65, 0.71) | (0.73, 0.75) | (0.70, 0.74) | (6.95, 8.35) | ||
| SPCTMR | Small | 0.58 ± 0.04 | 0.72 ± 0.02 | 0.70 ± 0.02 | 9.21 ± 1.58 |
| (0.54, 0.65) | (0.70, 0.76) | (0.67, 0.72) | (7.35, 13.45) | ||
| (0.56, 0.60) | (0.71, 0.73) | (0.69, 0.71) | (8.35, 10.07) | ||
| Medium | 0.75 ± 0.03 | 0.81 ± 0.02 | 0.78 ± 0.02 | 6.32 ± 1.19 | |
| (0.69, 0.81) | (0.78, 0.84) | (0.76, 0.84) | (4.26, 9.67) | ||
| (0.74, 0.76) | (0.80, 0.82) | (0.77, 0.79) | (5.95, 6.69) | ||
| Large | 0.71 ± 0.03 | 0.78 ± 0.03 | 0.75 ± 0.02 | 7.67 ± 1.43 | |
| (0.68, 0.77) | (0.74, 0.81) | (0.73, 0.81) | (6.14, 11.37) | ||
| (0.69, 0.73) | (0.76, 0.80) | (0.74, 0.76) | (6.89, 8.45) | ||
| All | 0.71 ± 0.09 | 0.79 ± 0.05 | 0.76 ± 0.06 | 7.16 ± 2.67 | |
| (0.54, 0.81) | (0.70, 0.84) | (0.67, 0.84) | (4.26, 13.45) | ||
| (0.69, 0.73) | (0.78, 0.80) | (0.75, 0.77) | (6.51, 7.81) | ||
| DPSW | Small | 0.60 ± 0.04 | 0.72 ± 0.03 | 0.68 ± 0.02 | 7.67 ± 1.24 |
| (0.54, 0.66) | (0.68, 0.76) | (0.65, 0.71) | (6.31, 10.55) | ||
| (0.58, 0.62) | (0.70, 0.74) | (0.67, 0.69) | (6.99, 8.34) | ||
| Medium | 0.75 ± 0.02 | 0.78 ± 0.02 | 0.81 ± 0.02 | 6.21 ± 1.14 | |
| (0.71, 0.82) | (0.75, 0.81) | (0.78, 0.83) | (4.61, 9.23) | ||
| (0.74, 0.76) | (0.77, 0.79) | (0.80, 0.82) | (5.85, 6.57) | ||
| Large | 0.73 ± 0.04 | 0.75 ± 0.02 | 0.79 ± 0.02 | 7.45 ± 1.28 | |
| (0.66, 0.77) | (0.73, 0.79) | (0.77, 0.82) | (5.76, 10.31) | ||
| (0.71, 0.75) | (0.74, 0.76) | (0.78, 0.80) | (5.06, 6.46) | ||
| All | 0.72 ± 0.08 | 0.76 ± 0.05 | 0.78 ± 0.05 | 6.73 ± 2.06 | |
| (0.54, 0.82) | (0.68, 0.83) | (0.65, 0.83) | (4.61, 10.55) | ||
| (0.70, 0.74) | (0.75, 0.77) | (0.77, 0.79) | (6.23, 7.23) | ||
| dp aw | Small | 0.65 ± 0.03 | 0.76 ± 0.02 | 0.74 ± 0.02 | 7.34 ± 1.19 |
| (0.61, 0.70) | (0.72, 0.78) | (0.71, 0.77) | (5.35, 10.45) | ||
| (0.63, 0.67) | (0.75, 0.77) | (0.73, 0.75) | (6.69, 7.99) | ||
| Medium | 0.79 ± 0.02 | 0.83 ± 0.02 | 0.86 ± 0.02 | 5.48 ± 1.01 | |
| (0.74, 0.85) | (0.79, 0.86) | (0.83, 0.90) | (3.67, 8.43) | ||
| (0.78, 0.80) | (0.82, 0.84) | (0.85, 0.87) | (5.16, 5.79) | ||
| Large | 0.75 ± 0.04 | 0.78 ± 0.02 | 0.81 ± 0.02 | 6.21 ± 1.15 | |
| (0.68, 0.79) | (0.76, 0.83) | (0.79, 0.85) | (4.76, 9.32) | ||
| (0.73, 0.77) | (0.77, 0.79) | (0.80, 0.82) | (5.58, 6.83) | ||
| All | 0.76 ± 0.06 | 0.81 ± 0.04 | 0.83 ± 0.04 | 5.99 ± 1.68 | |
| (0.61, 0.85) | (0.72, 0.86) | (0.71, 0.90) | (3.67, 10.45) | ||
| (0.75, 0.77) | (0.80, 0.82) | (0.82, 0.84) | (5.58, 6.39) |
Note: SPCT, SPCTMR, DPSW, and DPAW stand for single-path with input of CT, single-path with combined inputs of CT and MR, dual-path with symmetric weighting, and dual-path with asymmetric weighting, respectively.
Abbreviations: 95-HD, 95% Hausdorff distance; CI, confidence interval; DSCV, voxel-based dice similarity coefficient; SD, standard deviation.