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. 2013 Dec 20;15(1):105. doi: 10.1186/1532-429X-15-105

Table 4.

Segmentation accuracy with root-mean-squared-error (RMSE) and volume difference ( δ V ) on pre and post data for both submitted algorithms (IC to UTB) and fixed-models

 
Pre data
Post data
  RMSE (mm) | δV | (ml) RMSE (mm) | δV | (ml)
IC
0.72 (0.5)
2.87 (2.0)
9.52 (8.2)
4.79 (2.9)
MV
1.42 (0.7)
38.08 (6.7)
9.20 (8.8)
4.15 (5.7)
SY †∗
0.17 (0.1)
12.87 (2.8)
9.22 (9.3)
10.19 (3.9)
HB
n.a.
n.a.
n.a.
20.16 (10.3)
YL †∗
1.03 (0.4)
0.62 (0.7)
6.34 (8.2)
2.77 (2.3)
KCL
1.33 (0.6)
2.24 (2.2)
9.20 (8.3)
3.10 (2.3)
UTA
0.36 (0.3)
3.24 (2.6)
10.72 (8.0)
3.54 (2.5)
UTB
0.52 (0.5)
3.10 (2.2)
8.91 (8.2)
1.25 (1.5)
2-SD
n.a.
7.51 (3.6)
n.a.
17.7 (10.1)
3-SD
n.a.
12.73 (8.3)
n.a.
7.64 (3.7)
4-SD
0.15 (0.1)
12.74 (8.3)
11.69 (7.5)
11.98 (8.5)
6-SD
n.a.
n.a.
n.a.
15.47 (8.5)
FWHM n.a. 70.52 (38.4) 7.67 (8.2) 6.61 (5.9)

The standard deviation of each metric is quoted in brackets. Symbols (†∗) for pre and (∗) for post denote algorithms that could only be tested on a subset of the complete set of images. Abbreviations: n.a. data not available or could not be computed.