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Multiple Instance Learning On Tcga

Metriken

ACC

AUC

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Modellname	ACC	AUC	Paper Title	Repository
Snuffy (SimCLR Exhaustive)	0.947	0.972	Snuffy: Efficient Whole Slide Image Classifier	-
DTFD-MIL (MaxS)	0.868	0.919	DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification	-
DTFD-MIL (MaxMinS)	0.891	0.961	DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification	-
DTFD-MIL (MAS)	-	0.955	DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification	-
TransMIL	0.8835	0.9603	TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification	-
DSMIL-LC	0.9286	0.9583	Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive Learning	-
DTFD-MIL (AFS)	0.951	-	DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification	-
DSMIL	0.9190	0.9633	Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive Learning	-

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Multiple Instance Learning On Tcga | SOTA | HyperAI