Medical Image Segmentation on Chest X-ray (test)
95.63DSCSAM Ada-LoRA + D-QAT
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| SAM Ada-LoRA + D-QATQuantization=Decoder-only2026.04 | 95.63 | 92.24 | 92.93 | |
| SAM Ada-LoRA + Full QATQuantization=Full QAT2026.04 | 95.59 | 92.16 | 92.86 | |
| SAM Decoder2026.04 | 95.55 | 92.1 | 92.79 | |
| DeepLabv3+2026.04 | 95.36 | 92.69 | 84.05 | |
| nnU-Net2026.04 | 94.85 | 91.84 | 81.18 | |
| SegFormer2026.04 | 92.28 | 88.9 | 76.22 |