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ResearchFormerly WizWand

Blood Cell Classification on BCCD (test)

98.14AccuracyLeukocyteCount
41.002455.836270.6785.5038Aug 4, 2024Nov 28, 2024Mar 25, 2025Jul 20, 2025Nov 13, 2025Mar 10, 2026Jul 5, 2026
Updated 3mo ago

Evaluation results

MethodLinks
LeukocyteCountBackbone=MobileNetv2, Classifier=Logistic Regression2026.0798.14
Ensaf et al.Backbone=MobileNetv1, Classifier=Logistic Regression2026.0797.03
Linear CLSModel category=Non-interpretable models2024.0874.5
Linear-probeModel category=Non-interpretable models2024.0874.3
AdaCBMModel category=Interpretable CBM models, Concept Selection=Concept Utility Selection (ours), k=502024.0874.3
AdaCBMModel category=Interpretable CBM models, Concept Selection=Concept Utility Selection (ours), k=102024.0874.1
AdaCBMModel category=Interpretable CBM models, Concept Selection=Concept Utility Selection (ours), k=202024.0873.8
LORA & FTModel category=Non-interpretable models2024.0872.4
LaBo (10K)Model category=Interpretable CBM models, Concept Selection=Submodular, k=502024.0869.2
LaBo (10K)Model category=Interpretable CBM models, Concept Selection=Submodular, k=202024.0868.7
LaBo (10K)Model category=Interpretable CBM models, Concept Selection=Submodular, k=102024.0866.1
Label-free CBMModel category=Interpretable CBM models2024.0863.7
LaBoModel category=Interpretable CBM models, Concept Selection=Submodular, k=502024.0857.6
LaBoModel category=Interpretable CBM models, Concept Selection=Submodular, k=202024.0856.7
LaBoModel category=Interpretable CBM models, Concept Selection=Submodular, k=102024.0854.5
Backbone FTModel category=Non-interpretable models2024.0843.2