Medical Image Segmentation on Breast Ultrasound (test)
0.8426mIoULM-Net
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| LM-Net2025.01 | 0.8426 | 0.9691 | 0.8503 | 0.8229 | 0.9096 | 5.59 | -6.36 | |
| UCTransNet2025.01 | 0.8325 | 0.967 | 0.8455 | 0.8038 | 0.9029 | 6.08 | -3.56 | |
| AttUnet2025.01 | 0.8258 | 0.9664 | 0.863 | 0.7724 | 0.8983 | 7.26 | -9.51 | |
| R50-Trans UnetBackbone=ResNet-502025.01 | 0.8205 | 0.9649 | 0.8488 | 0.7732 | 0.8947 | 6.09 | -11 | |
| Unet++2025.01 | 0.8187 | 0.9654 | 0.8739 | 0.7476 | 0.8934 | 7.52 | -13.29 | |
| Unet2025.01 | 0.8174 | 0.9645 | 0.8528 | 0.7621 | 0.8926 | 7.32 | -13.04 | |
| Deeplabv3+2025.01 | 0.817 | 0.9643 | 0.8499 | 0.7633 | 0.8923 | 7.44 | -11.61 | |
| ResUnet++2025.01 | 0.8145 | 0.9644 | 0.8664 | 0.744 | 0.8905 | 8.56 | -14.04 | |
| FCN2025.01 | 0.8141 | 0.9624 | 0.8123 | 0.7913 | 0.8904 | 8.42 | -4.28 | |
| UMind-VLModel Category=Our Model2025.11 | 0.8122 | — | — | — | — | — | — | |
| Mask2formerModel Category=Specialist Models2025.11 | 0.7853 | — | — | — | — | — | — | |
| UltrasamModel Category=Specialist Models2025.11 | 0.7843 | — | — | — | — | — | — | |
| SA2VA(2B)Model Category=Generalist Models2025.11 | 0.78 | — | — | — | — | — | — | |
| SA2VA(1B)Model Category=Generalist Models2025.11 | 0.7651 | — | — | — | — | — | — | |
| ResUnet2025.01 | 0.7417 | 0.9478 | 0.7808 | 0.6356 | 0.8359 | 15.61 | -17.6 | |
| Trans Unet2025.01 | 0.7362 | 0.9472 | 0.7876 | 0.6167 | 0.8314 | 15.12 | -24.18 | |
| Deeplabv3Model Category=Specialist Models2025.11 | 0.7133 | — | — | — | — | — | — | |
| Swin-Unet2025.01 | 0.6286 | 0.9149 | 0.5711 | 0.4696 | 0.7339 | 27.68 | -26.64 | |
| SegformerModel Category=Specialist Models2025.11 | 0.5415 | — | — | — | — | — | — |