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ResearchFormerly WizWand

Instance Segmentation on MitoEM Human -> Rat R (test)

94.6Dice (%)Supervised model
4.01627.53351.0574.567Sep 23, 2025
Updated 8mo ago

Evaluation results

MethodLinks
Supervised modelType=Oracle2025.0994.686.479.2
Prompt-DAS (15%)+Prompts (Training)=true, Prompts (Testing)=true, Type=WDA (Interact.)2025.0993.584.474.2
Prompt-DAS (15%)Prompts (Training)=true, Prompts (Testing)=false, Type=WDA2025.0993.383.674.5
Prompt-DAS (0%)Prompts (Training)=false, Prompts (Testing)=false, Type=UDA2025.0992.482.274.3
WDA-Net (15%)Prompts (Training)=true, Prompts (Testing)=false, Type=WDA2025.0991.780.774
WeSAM (15%)+Prompts (Training)=true, Prompts (Testing)=true, Type=WDA (Interact.), Fine-tuning=using source data and target data with 15% sparse point labels2025.0989.979.673.9
Our Source Model+Prompts (Training)=false, Prompts (Testing)=true, Type=NoAdapt (Interact.)2025.0989.878.874.1
CAFA (2.5D)Prompts (Training)=false, Prompts (Testing)=false, Type=UDA2025.0989.2——
DAMT-NetPrompts (Training)=false, Prompts (Testing)=false, Type=UDA2025.0988.776.361.8
Our Source ModelPrompts (Training)=false, Prompts (Testing)=false, Type=NoAdapt2025.0988.676.768.7
DA-ISC (2.5D)Prompts (Training)=false, Prompts (Testing)=false, Type=UDA2025.0988.675.765.8
WDA-Net (0%)Prompts (Training)=false, Prompts (Testing)=false, Type=UDA2025.0988.274.559
UALRPrompts (Training)=false, Prompts (Testing)=false, Type=UDA2025.0986.371.653.7
Med-SA+Prompts (Training)=false, Prompts (Testing)=true, Type=NoAdapt (Interact.)2025.0986.270.259.9
Med-SAPrompts (Training)=false, Prompts (Testing)=false, Type=NoAdapt, Fine-tuning=using the source data2025.0975.556.627.5
SAM-Med2D+Prompts (Training)=false, Prompts (Testing)=true, Type=NoAdapt (Interact.)2025.0972.655.639.7
SAM+Prompts (Training)=false, Prompts (Testing)=true, Type=NoAdapt (Interact.)2025.0940.61.226.2
SAMPrompts (Training)=false, Prompts (Testing)=false, Type=NoAdapt2025.093214.330
SAM-Med2DPrompts (Training)=false, Prompts (Testing)=false, Type=NoAdapt2025.0915.9——
WeSAM (15%)Prompts (Training)=true, Prompts (Testing)=false, Type=WDA, Fine-tuning=using the source data2025.097.50.12.2