Medical Image Segmentation on Brain Tumor (test)
83.67Dice ScoreDCSNet
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| DCSNetCategory=Pretrained, Params=59.42M, GFLOPs=83.322026.06 | 83.67 | 74.04 | 85.24 | 12.18 | |
| G-CASCADECategory=Pretrained, Params=95.90M, GFLOPs=22.162026.06 | 83.07 | 73.75 | 83.56 | 13.47 | |
| CaraNetCategory=Non-pretrained, Params=46.02M, GFLOPs=46.212026.06 | 82.25 | 74.7 | 83.47 | 15.18 | |
| TransUNetCategory=Pretrained, Params=105.91M, GFLOPs=129.262026.06 | 82.2 | 73.75 | 84.68 | 12.67 | |
| TransFuseCategory=Pretrained, Params=143.54M, GFLOPs=62.102026.06 | 80.42 | 71.55 | 84.01 | 14.11 | |
| Mask R-CNNCategory=Pretrained, Params=43.92M, GFLOPs=262.242026.06 | 79.04 | 70.52 | 80.58 | 15.43 | |
| SvANetCategory=Pretrained, Params=177.19M, GFLOPs=118.972026.06 | 78.44 | 70.02 | 83.55 | 21.92 | |
| Attention-UNetCategory=Non-pretrained, Params=34.88M, GFLOPs=266.532026.06 | 78.05 | 69.72 | 84.84 | 26.65 | |
| UNet++Category=Non-pretrained, Params=9.16M, GFLOPs=139.602026.06 | 77.43 | 68.46 | 82.36 | 21.97 | |
| UNetCategory=Non-pretrained, Params=31.03M, GFLOPs=218.042026.06 | 75.18 | 67.31 | 83.68 | 28.18 |