Nuclei Instance Segmentation on CoNSeP
52.25mPQMR-PLIP
Evaluation Results
| Method | Links | |
|---|---|---|
| MR-PLIPEvaluation Protocol=Fine-tune2025.04 | 52.25 | |
| MoCo v2Arch.=ResNet-50, Evaluation Protocol=Fine-tune, Pre-training Data=TCGA2022.12 | 51.75 | |
| CONCHEvaluation Protocol=Fine-tune2025.04 | 51.75 | |
| Barlow Twins (BT)Arch.=ResNet-50, Evaluation Protocol=Fine-tune, Pre-training Data=TCGA2022.12 | 51.61 | |
| SwAVArch.=ResNet-50, Evaluation Protocol=Fine-tune, Pre-training Data=TCGA2022.12 | 51.16 | |
| SupervisedArch.=ResNet-50, Evaluation Protocol=Fine-tune, Pre-training Data=TCGA2022.12 | 49.6 | |
| RandomArch.=ResNet-50, Evaluation Protocol=Fine-tune, Pre-training Data=TCGA2022.12 | 46.72 | |
| DINOArch.=ViT-S, patch size=8, Evaluation Protocol=Fine-tune, Pre-training Data=TCGA2022.12 | 46.7 | |
| DinoSSLPathEvaluation Protocol=Fine-tune2025.04 | 46.7 | |
| MR-PLIPEvaluation Protocol=Linear2025.04 | 46.61 | |
| QuiltNetEvaluation Protocol=Fine-tune2025.04 | 45.56 | |
| MI-ZeroEvaluation Protocol=Fine-tune2025.04 | 43.33 | |
| DINOArch.=ViT-S, patch size=8, Evaluation Protocol=Linear, Pre-training Data=TCGA2022.12 | 42.71 | |
| DinoSSLPathEvaluation Protocol=Linear2025.04 | 42.71 | |
| QuiltNetEvaluation Protocol=Linear2025.04 | 41.11 | |
| MI-ZeroEvaluation Protocol=Linear2025.04 | 40.91 | |
| Barlow Twins (BT)Arch.=ResNet-50, Evaluation Protocol=Linear, Pre-training Data=TCGA2022.12 | 40.79 | |
| SwAVArch.=ResNet-50, Evaluation Protocol=Linear, Pre-training Data=TCGA2022.12 | 40.45 | |
| MoCo v2Arch.=ResNet-50, Evaluation Protocol=Linear, Pre-training Data=TCGA2022.12 | 39.85 | |
| CONCHEvaluation Protocol=Linear2025.04 | 39.85 | |
| DINOArch.=ViT-S, patch size=16, Evaluation Protocol=Fine-tune, Pre-training Data=TCGA2022.12 | 38.43 | |
| SupervisedArch.=ViT-S, patch size=16, Evaluation Protocol=Fine-tune, Pre-training Data=TCGA2022.12 | 36.7 | |
| SupervisedArch.=ResNet-50, Evaluation Protocol=Linear, Pre-training Data=TCGA2022.12 | 34.25 | |
| DINOArch.=ViT-S, patch size=16, Evaluation Protocol=Linear, Pre-training Data=TCGA2022.12 | 32.54 | |
| RandomArch.=ViT-S, patch size=16, Evaluation Protocol=Fine-tune, Pre-training Data=TCGA2022.12 | 27.19 | |
| RandomArch.=ResNet-50, Evaluation Protocol=Linear, Pre-training Data=TCGA2022.12 | 22.29 | |
| SupervisedArch.=ViT-S, patch size=16, Evaluation Protocol=Linear, Pre-training Data=TCGA2022.12 | 21.43 | |
| RandomArch.=ViT-S, patch size=16, Evaluation Protocol=Linear, Pre-training Data=TCGA2022.12 | 20.55 |