Table 4 Results of different models on the QaTa-COV19-v2 dataset.
Method | Dice | Mcc | Jaccard | Params (M) | FPS (ms) |
|---|---|---|---|---|---|
U-Net2 | 0.8293 | 0.8099 | 0.7144 | 1.9447 | 247.7885 |
Attention-U-Net38 | 0.8344 | 0.8150 | 0.7197 | 34.8786 | 141.8865 |
DCANet39 | 0.8387 | 0.8229 | 0.7303 | 36.6003 | 34.4124 |
M-Net40 | 0.8366 | 0.8203 | 0.7289 | 9.3277 | 191.6864 |
DCSAU-Net41 | 0.8354 | 0.8166 | 0.7237 | 2.5988 | 56.7778 |
MCDAU-Net42 | 0.8339 | 0.8153 | 0.7228 | 12.9797 | 66.9488 |
META-Unet43 | 0.8379 | 0.8193 | 0.7251 | 21.6960 | 90.1669 |
MSRAformer44 | 0.7843 | 0.7628 | 0.6538 | 68.0315 | 23.1379 |
Swin-Transformer45 | 0.7900 | 0.7658 | 0.6578 | 36.7198 | 60.9945 |
MCAFNet46 | 0.8397 | 0.8211 | 0.7284 | 9.0615 | 81.2885 |
MDUNet47 | 0.8399 | 0.8213 | 0.7279 | 11.5519 | 38.2567 |
DualA-Net48 | 0.8282 | 0.8083 | 0.7111 | 2.5788 | 53.3254 |
MD-Net | 0.8395 | 0.8232 | 0.7311 | 8.5747 | 75.0257 |
