Semantic Segmentation on MSD Lung
0.0007L_CEResNet50
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| ResNet50Pre-training=ImageNet-1K2024.11 | 0.0007 | 55.66 | 0.9 | |
| OneNete, 4Pre-training=None, Downsampling layers=4, Architecture configuration=encoder swap2024.11 | 0.0007 | 55.31 | 0.9 | |
| OneNeted, 4Pre-training=None, Downsampling layers=4, Architecture configuration=encoder-decoder swap2024.11 | 0.0009 | 55.1 | 0.8 | |
| U-Net4Pre-training=None, Downsampling layers=42024.11 | 0.001 | 55.42 | 0.9 | |
| ResNet34Pre-training=ImageNet-1K2024.11 | 0.001 | 55.29 | 0.9 | |
| MobileNetPre-training=ImageNet-1K2024.11 | 0.001 | 57.87 | 0.8 |