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ResearchFormerly WizWand

Nuclei Instance Segmentation on CoNSeP

52.25mPQMR-PLIP
19.28227.84136.444.959Dec 9, 2022May 2, 2023Sep 24, 2023Feb 16, 2024Jul 10, 2024Dec 2, 2024Apr 26, 2025
Updated 8mo ago

Evaluation results

MethodLinks
MR-PLIPEvaluation Protocol=Fine-tune2025.0452.25
MoCo v2Arch.=ResNet-50, Evaluation Protocol=Fine-tune, Pre-training Data=TCGA2022.1251.75
CONCHEvaluation Protocol=Fine-tune2025.0451.75
Barlow Twins (BT)Arch.=ResNet-50, Evaluation Protocol=Fine-tune, Pre-training Data=TCGA2022.1251.61
SwAVArch.=ResNet-50, Evaluation Protocol=Fine-tune, Pre-training Data=TCGA2022.1251.16
SupervisedArch.=ResNet-50, Evaluation Protocol=Fine-tune, Pre-training Data=TCGA2022.1249.6
RandomArch.=ResNet-50, Evaluation Protocol=Fine-tune, Pre-training Data=TCGA2022.1246.72
DINOArch.=ViT-S, patch size=8, Evaluation Protocol=Fine-tune, Pre-training Data=TCGA2022.1246.7
DinoSSLPathEvaluation Protocol=Fine-tune2025.0446.7
MR-PLIPEvaluation Protocol=Linear2025.0446.61
QuiltNetEvaluation Protocol=Fine-tune2025.0445.56
MI-ZeroEvaluation Protocol=Fine-tune2025.0443.33
DINOArch.=ViT-S, patch size=8, Evaluation Protocol=Linear, Pre-training Data=TCGA2022.1242.71
DinoSSLPathEvaluation Protocol=Linear2025.0442.71
QuiltNetEvaluation Protocol=Linear2025.0441.11
MI-ZeroEvaluation Protocol=Linear2025.0440.91
Barlow Twins (BT)Arch.=ResNet-50, Evaluation Protocol=Linear, Pre-training Data=TCGA2022.1240.79
SwAVArch.=ResNet-50, Evaluation Protocol=Linear, Pre-training Data=TCGA2022.1240.45
MoCo v2Arch.=ResNet-50, Evaluation Protocol=Linear, Pre-training Data=TCGA2022.1239.85
CONCHEvaluation Protocol=Linear2025.0439.85
DINOArch.=ViT-S, patch size=16, Evaluation Protocol=Fine-tune, Pre-training Data=TCGA2022.1238.43
SupervisedArch.=ViT-S, patch size=16, Evaluation Protocol=Fine-tune, Pre-training Data=TCGA2022.1236.7
SupervisedArch.=ResNet-50, Evaluation Protocol=Linear, Pre-training Data=TCGA2022.1234.25
DINOArch.=ViT-S, patch size=16, Evaluation Protocol=Linear, Pre-training Data=TCGA2022.1232.54
RandomArch.=ViT-S, patch size=16, Evaluation Protocol=Fine-tune, Pre-training Data=TCGA2022.1227.19
RandomArch.=ResNet-50, Evaluation Protocol=Linear, Pre-training Data=TCGA2022.1222.29
SupervisedArch.=ViT-S, patch size=16, Evaluation Protocol=Linear, Pre-training Data=TCGA2022.1221.43
RandomArch.=ViT-S, patch size=16, Evaluation Protocol=Linear, Pre-training Data=TCGA2022.1220.55