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Multiple Instance Learning On Camelyon16

Métriques

ACC

AUC

Résultats

Résultats de performance de divers modèles sur ce benchmark

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

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Multiple Instance Learning On Camelyon16 | SOTA | HyperAI