Nuclei Segmentation on CoNIC (val)
68.69DiceAMN
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| AMNParams=66.5M, Pre-trained ImageNet Backbone=true2026.05 | 68.69 | 68.69 | 81.87 | |
| ResU-NetParams=32.4M, Pre-trained ImageNet Backbone=false2026.05 | 62.66 | 62.66 | 69.36 | |
| U-NetParams=31.0M, Pre-trained ImageNet Backbone=false2026.05 | 62.33 | 62.33 | 69.25 | |
| DeepLabV3+Params=44.5M, Pre-trained ImageNet Backbone=true2026.05 | 61.45 | 61.45 | 69.31 | |
| HmsU-NetParams=68.2M, Pre-trained ImageNet Backbone=true2026.05 | 61.19 | 61.19 | 70.36 | |
| BEFUnetParams=33.2M, Pre-trained ImageNet Backbone=true2026.05 | 59.04 | 59.04 | 68.23 | |
| ConvFormer-UNetParams=18.4M, Pre-trained ImageNet Backbone=false2026.05 | 58.92 | 58.92 | 69.63 | |
| SegNetParams=16.5M, Pre-trained ImageNet Backbone=false2026.05 | 53.49 | 53.49 | 66.78 | |
| ViT-SmallParams=22.2M, Pre-trained ImageNet Backbone=true2026.05 | 46.81 | 46.81 | 62.83 |