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SOTA
多实例学习
Multiple Instance Learning On Camelyon16
Multiple Instance Learning On Camelyon16
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)
0.952
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.
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