Artifact Detection On Histoartifacts
Metrics
Average F1
MCC
Results
Performance results of various models on this benchmark
Model Name | Average F1 | MCC | Paper Title | Repository |
|---|---|---|---|---|
| MobileNet-TL | 0.89 | 0.81 | Quantifying the effect of color processing on blood and damaged tissue detection in Whole Slide Images | |
| DKL_101010 | 0.996 | 0.990 | Are you sure it’s an artifact? Artifact detection and uncertainty quantification in histological images | |
| KD-based ViT-Tiny | - | 0.911 | Vision Transformers for Small Histological Datasets Learned through Knowledge Distillation | - |
| DCNN-based MoE | - | - | Equipping Computational Pathology Systems with Artifact Processing Pipelines: A Showcase for Computation and Performance Trade-offs | - |
| VGG16-TL | 0.997 | 0.98 | Quantifying the effect of color processing on blood and damaged tissue detection in Whole Slide Images |
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