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. 2022 Jan 28;43(7):2089–2108. doi: 10.1002/hbm.25784

TABLE 4.

Evaluation of WMH segmentation on different adversarial attacks

Adversarial attacks HyperMapper Bayesian BIANCA DeepMedic
Dice similarity coefficient Noise (sigma = 0.2) 0.806 (±0.086) 0.252 (±0.130) 0.639 (±0.217) a
Downsampled (2 × 2 × 2) 0.809 (±0.101) 0.348 (±0.176) 0.306 (±0.208) b
Contrast (gamma = 0.5) 0.822 (±0.102) 0.389 (±0.184) 0.677 (±0.198)
Hausdorff distance (HD95) (mm) ↓ Noise (sigma = 0.2) 3.592 (±4.686) 31.521 (±14.999) 14.092 (±13.626) a
Downsampled (2 × 2 × 2) 5.836 (±6.475) 30.469 (±18.451) 50.049 (±21.236) b
Contrast (gamma = 0.5) 5.047 (±6.172) 29.488 (±17.077) 10.742 (±10.5854)
Absolute volume difference (%) ↓ Noise (sigma = 0.2) 15.037 (±13.169 159.602 (±278.002) 42.627 (±24.601) a
Downsampled (2 × 2 × 2) 19.745 (±18.260) 156.712 (±325.622) 77.265 (±18.012) b
Contrast (gamma = 0.5) 24.454 (±23.178) 176.860 (±365.183) 40.007 (±24.096)
Sensitivity (recall) Noise (sigma = 0.2) 0.720 (±0.136) 0.669 (±0.168) 0.259 (±0.124) a
Downsampled (2 × 2 × 2) 0.677 (±0.148) 0.601 (±0.217) 0.072 (±0.040) b
Contrast (gamma = 0.5) 0.601 (±0.200) 0.759 (±0.186) 0.348 (±0.191)
F‐1 score Noise (sigma = 0.2) 0.505 (±0.160) 0.139 (±0.142) 0.376 (±0.134) a
Downsampled (2 × 2 × 2) 0.718 (±0.010) 0.316 (±0.169) 0.131 (±0.066) b
Contrast (gamma = 0.5) 0.662 (±0.135) 0.213 (±0.175) 0.469(±0.166)

Note: ↓ indicates that smaller values represent better performance.

Values in bold indicate best performance.

Abbreviation: WMH, white matter hyperintensity.

a

DeepMedic failed on one subject with increased noise.

b

DeepMedic failed on 62 subjects with lower resolution.