Acute Stroke Lesion Segmentation On Atlas V2
Metriken
Dice Score
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
| Paper Title | ||
|---|---|---|
| 2D U-Net Transformer | 0.583 | BeSt-LeS: Benchmarking Stroke Lesion Segmentation using Deep Supervision |
| 3D Residual U-Net | 0.504 | BeSt-LeS: Benchmarking Stroke Lesion Segmentation using Deep Supervision |
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