Table 2:

Comparison of StackGen-Net with other WMH detection techniques

Test Cohort 1Test Cohort 2
UNET2DDeepMedicUNET2D WS-EStackGen-NetUNET2DDeepMedicUNET2D WS-EStackGen-Net
Dice (F1-P)0.43
[SD, 0.17]
0.62
[SD, 0.09]
0.67
[SD, 0.09]
0.76
[SD, 0.07]
0.27
[SD, 0.20]
0.58
[SD, 0.15]
0.66
[SD, 0.17]
0.76
[SD, 0.09]
Precision-P0.72
[SD, 0.19]
0.63
[SD, 0.13]
0.72
[SD, 0.15]
0.73
[SD, 0.11]
0.73
[SD, 0.32]
0.66
[SD, 0.22]
0.69
[SD, 0.23]
0.77
[SD, 0.11]
Recall-P0.32
[SD, 0.19]
0.63
[SD, 0.18]
0.64
[SD, 0.07]
0.79
[SD,  0.1]
0.18
[SD, 0.16]
0.53
[SD, 0.13]
0.67
[SD, 0.12]
0.75
[SD, 0.09]
Precision-L0.60
[SD, 0.20]
0.47
[SD, 0.23]
0.69
[SD, 0.18]
0.75
[SD, 0.11]
0.72
[SD, 0.24]
0.43
[SD, 0.23]
0.60
[SD, 0.23]
0.84
[SD, 0.14]
Recall-L0.37
[SD, 0.09]
0.86
[SD, 0.09]
0.79
[SD, 0.15]
0.87
[SD, 0.08]
0.26
[SD, 0.14]
0.71
[SD, 0.10]
0.74
[SD, 0.13]
0.67
[SD, 0.13]
F1-L0.44
[SD, 0.10]
0.54
[SD, 0.11]
0.71
[SD, 0.09]
0.80
[SD, 0.09]
0.37
[SD, 0.16]
0.50
[SD, 0.20]
0.63
[SD, 0.15]
0.73
[SD, 0.11]
|VD|(%)54.4
[SD, 22.1]
26.9
[SD, 20.0]
17.6
[SD, 11.2]
12.3
[SD, 12.7]
77.4
[SD, 16.5]
30.6
[SD, 18.6]
37.6
[SD, 51.5]
13.7
[SD, 9.7]
HD9519.5
[SD, 8.6]
15.9
[SD, 16.1]
10.8
[SD, 6.7]
5.27
[SD, 3.15]
30.6
[SD, 20.9]
21.8
[SD, 22.9]
19.5
[SD, 18.8]
17.1
[SD, 21.0]
AUC0.53
[SD, 0.21]
0.66
[SD, 0.12]
0.61
[SD, 0.11]
0.84
[SD, 0.07]
0.54
[SD, 0.28]
0.60
[SD, 0.20]
0.60
[SD, 0.20]
0.84
[SD, 0.10]
  • Note:—HD95 indicates modified Hausdorff distance (mm); P, pixel; L, lesion; |VD| = absolute volume difference.