Table 1. Model performance across different datasets.
Dataset | Model | Dice | mIoU |
CryoNuSeg | U-Net | 0.7371 | 0.610 |
DDU-Net | 0.8143 | 0.6822 |
U-Net3+ | 0.778 | 0.6432 |
AWGUNET | 0.764 | 0.6381 |
eU-Net3+ | 0.8401 | 0.7644 |
SAM +eU-Net3+ | 0.8942 | 0.8164 |
NuInsSeg | U-Net | 0.7997 | 0.6781 |
DDU-Net | 0.7154 | 0.6133 |
U-Net3+ | 0.7844 | 0.7261 |
AWGUNET | 0.7792 | 0.7236 |
eU-Net3+ | 0.8307 | 0.8163 |
SAM +eU-Net3+ | 0.9399 | 0.8938 |
CoNIC | U-Net | 0.7353 | 0.6214 |
DDU-Net | 0.827 | 0.7347 |
U-Net3+ | 0.8474 | 0.7992 |
AWGUNET | 0.8419 | 0.7944 |
eU-Net3+ | 0.8966 | 0.8539 |
SAM +eU-Net3+ | 0.9351 | 0.8869 |