Semantic Segmentation on MSD Brain
0.0351Log Loss (CE)MobileNet
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| MobileNetPre-training=ImageNet-1K2024.11 | 0.0351 | 0.5764 | 0.011 | |
| OneNete, 4Pre-training=None, Downsampling layers=4, Architecture configuration=encoder swap2024.11 | 0.0363 | 0.5789 | 0.105 | |
| U-Net4Pre-training=None, Downsampling layers=42024.11 | 0.0455 | 0.245 | 0.001 | |
| OneNeted, 4Pre-training=None, Downsampling layers=4, Architecture configuration=encoder-decoder swap2024.11 | 0.0455 | 0.5415 | 0.099 | |
| ResNet50Pre-training=ImageNet-1K2024.11 | 0.0496 | 0.5419 | 0.01 | |
| ResNet34Pre-training=ImageNet-1K2024.11 | 0.1305 | 0.4188 | 0.079 |