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홈
SOTA
Multiple Instance Learning
Multiple Instance Learning On Tcga
Multiple Instance Learning On Tcga
평가 지표
ACC
AUC
평가 결과
이 벤치마크에서 각 모델의 성능 결과
Columns
모델 이름
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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