Table 1 Algorithmic classification performance of stroke patterns (above) and vascular territories (below)
From: DeepISLES: a clinically validated ischemic stroke segmentation model from the ISLES'22 challenge
Stroke pattern | ||||
---|---|---|---|---|
SVI (N=62) | SI based on micro-occlusions (N = 48) | SVI with accompanying SI (N = 38) | All stroke (N = 148) | |
Team | F1 score | Balanced Accuracy | ||
SEALS | 87.6 | 75.6 | 68.8 | 78.1 |
NVAUTO | 88.1 | 78.6 | 68.1 | 78.9 |
SWAN | 85.0 | 75.9 | 68.2 | 76.2 |
DeepISLES | 87.6 | 91.8 | 81.6 | 86.9 |
Vascular territory | ||||||
---|---|---|---|---|---|---|
MCA (N = 97) | PCA (N = 23) | ACA (N = 4) | Pons/Medula (N = 4) | Cerebellum (N = 20) | All stroke (N = 148) | |
Team | F1 score | Balanced Accuracy | ||||
SEALS | 97.9 | 93.3 | 88.9 | 80.0 | 97.6 | 97.4 |
NVAUTO | 97.9 | 95.7 | 80.0 | 88.9 | 97.4 | 97.3 |
SWAN | 96.8 | 93.3 | 66.7 | 100.0 | 97.6 | 92.2 |
DeepISLES | 98.4 | 93.3 | 100.0 | 88.9 | 97.6 | 97.6 |