Table 2.
Automated segmentation methods | Dice index (B = 1, W = 0) | Jaccard index (B = 1, W = 0) | Positive predictive value (B = 1, W = 0) | True positive rate (B = 1, W = 0) | False positive rate (B = 0, W = 1) | Volume difference (B = 0, W = ∞) |
---|---|---|---|---|---|---|
Proposed method | 0.2648 ± 0.134 | 0.1598 ± 0.10 | 0.3383 ± 0.218 | 0.2555 ± 0.143 | 0.3656 ± 0.189 | 0.5056 ± 0.435 |
TMOD |
0.2397 ± 0.123 NS |
0.1420 ± 0.09 NS |
0.2180 ± 0.139 ** |
0.3351 ± 0.150 * |
0.5594 ± 0.191 *** |
1.4350 ± 2.005 ** |
SLS |
0.1471 ± 0.131 *** |
0.0851 ± 0.09 ** |
0.1680 ± 0.167 *** |
0.1609 ± 0.148 ** |
0.4748 ± 0.196 * |
0.7978 ± 0.653 * |
LPA |
0.1275 ± 0.080 *** |
0.0700 ± 0.05 *** |
0.1331 ± 0.122 *** |
0.1913 ± 0.157 * |
0.5417 ± 0.229 ** |
1.4973 ± 1.673 ** |
Dice index, Jaccard index, positive predictive value, true positive rate, false positive rate, and volume difference are presented as mean ± standard deviation. B indicates Best, and W is Worst. NS is not statistically significantly different compared with the proposed method (P > 0.05); * is significant at P ≤ 0.05; ** is significant at P ≤ 0.01, and *** is significant at P ≤ 0.001. All paired t-tests were Bonferroni corrected for four comparisons.