Multiple Instance Learning On Camelyon16

Metrics

ACC

AUC

Results

Performance results of various models on this benchmark

			Paper Title
Snuffy (SimCLR Exhaustive)	0.952	0.970	Snuffy: Efficient Whole Slide Image Classifier
Snuffy (DINO Exhaustive)	0.948	0.987	Snuffy: Efficient Whole Slide Image Classifier
CAMIL	0.917	0.959	CAMIL: Context-Aware Multiple Instance Learning for Cancer Detection and Subtyping in Whole Slide Images
CAMIL (CAMIL-L)	0.91	0.953	CAMIL: Context-Aware Multiple Instance Learning for Cancer Detection and Subtyping in Whole Slide Images
DTFD-MIL (AFS)	0.908	0.946	DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification
Snuffy (MAE Adapter)	0.900	0.910	Snuffy: Efficient Whole Slide Image Classifier
DSMIL-LC	0.8992	0.9165	Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive Learning
DTFD-MIL (MaxMinS)	0.899	0.941	DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification
DTFD-MIL (MAS)	0.897	0.945	DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification
CAMIL (CAMIL-G)	0.891	0.95	CAMIL: Context-Aware Multiple Instance Learning for Cancer Detection and Subtyping in Whole Slide Images
TransMIL	0.8837	0.9309	TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification
DSMIL	0.8682	0.8944	Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive Learning
DTFD-MIL (MaxS)	0.864	0.907	DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification
DGMIL	0.8018	0.8368	DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Classification

0 of 14 row(s) selected.

Multiple Instance Learning On Camelyon16

Metrics

ACC

AUC

Results

Performance results of various models on this benchmark

			Paper Title
Snuffy (SimCLR Exhaustive)	0.952	0.970	Snuffy: Efficient Whole Slide Image Classifier
Snuffy (DINO Exhaustive)	0.948	0.987	Snuffy: Efficient Whole Slide Image Classifier
CAMIL	0.917	0.959	CAMIL: Context-Aware Multiple Instance Learning for Cancer Detection and Subtyping in Whole Slide Images
CAMIL (CAMIL-L)	0.91	0.953	CAMIL: Context-Aware Multiple Instance Learning for Cancer Detection and Subtyping in Whole Slide Images
DTFD-MIL (AFS)	0.908	0.946	DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification
Snuffy (MAE Adapter)	0.900	0.910	Snuffy: Efficient Whole Slide Image Classifier
DSMIL-LC	0.8992	0.9165	Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive Learning
DTFD-MIL (MaxMinS)	0.899	0.941	DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification
DTFD-MIL (MAS)	0.897	0.945	DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification
CAMIL (CAMIL-G)	0.891	0.95	CAMIL: Context-Aware Multiple Instance Learning for Cancer Detection and Subtyping in Whole Slide Images
TransMIL	0.8837	0.9309	TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification
DSMIL	0.8682	0.8944	Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive Learning
DTFD-MIL (MaxS)	0.864	0.907	DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification
DGMIL	0.8018	0.8368	DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Classification

0 of 14 row(s) selected.