Artifact Detection On Histoartifacts

Metrics

Average F1

MCC

Results

Performance results of various models on this benchmark

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

0 of 5 row(s) selected.

Artifact Detection On Histoartifacts

Metrics

Average F1

MCC

Results

Performance results of various models on this benchmark

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

0 of 5 row(s) selected.

Artifact Detection On Histoartifacts | SOTA | HyperAI