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Medical Image Segmentation On Brain Us
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F1
IoU
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
| Paper Title | Repository | |||
|---|---|---|---|---|
| MedT | 88.84 | 81.34 | Medical Transformer: Gated Axial-Attention for Medical Image Segmentation | |
| LoGo | 88.54 | 80.84 | Medical Transformer: Gated Axial-Attention for Medical Image Segmentation | |
| U-Net | 87.92 | 80.14 | Medical Transformer: Gated Axial-Attention for Medical Image Segmentation |
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