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SOTA
多实例学习
Multiple Instance Learning On Tcga
Multiple Instance Learning On Tcga
评估指标
ACC
AUC
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
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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