Medical Image Segmentation On Lits2017
Metrics
Dice
Results
Performance results of various models on this benchmark
Model Name | Dice | Paper Title | Repository |
|---|---|---|---|
| UNet 3+ w/o DS | 0.9580 | UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation | |
| UNet 3+ | 0.9675 | UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation |
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