Semantic Segmentation on Synapse
72.78mIoUGSAM
Evaluation Results
| Method | Links | |
|---|---|---|
| GSAMImage type=CT, Class=9, Image size=224 × 224, Random crop=224 × 224 + padding, Random cropping applied=true2024.08 | 72.78 | |
| SM-AdaptFormerImage type=CT, Class=9, Image size=224 × 224, Random crop=224 × 224 + padding, Random cropping applied=false2024.08 | 66.06 | |
| AdaptFormerImage type=CT, Class=9, Image size=224 × 224, Random crop=224 × 224 + padding, Random cropping applied=false2024.08 | 61.28 | |
| DeepLabv3+Image type=CT, Class=9, Image size=224 × 224, Random crop=224 × 224 + padding, Random cropping applied=true2024.08 | 60.6 | |
| U-NetImage type=CT, Class=9, Image size=224 × 224, Random crop=224 × 224 + padding, Random cropping applied=true2024.08 | 57.31 | |
| ConvLoRAImage type=CT, Class=9, Image size=224 × 224, Random crop=224 × 224 + padding, Random cropping applied=false2024.08 | 43.41 | |
| SAMImage type=CT, Class=9, Image size=224 × 224, Random crop=224 × 224 + padding, Random cropping applied=false2024.08 | 40.61 | |
| LoRAImage type=CT, Class=9, Image size=224 × 224, Random crop=224 × 224 + padding, Random cropping applied=false2024.08 | 39.08 | |
| SAMUSImage type=CT, Class=9, Image size=224 × 224, Random crop=224 × 224 + padding, Random cropping applied=false, Input image size=256 × 2562024.08 | 20.66 |