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SOTA Bag-level classification benchmarks and papers with code | Wizwand
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Bag-level classification
Benchmarks
Dataset Name
SOTA Method
Dataset Name
SOTA Method
Metric
Trend
Results
Last Updated
CIFAR-10 (test)
MI-Net
AUC
1
54
1mo ago
NCT-CRC
RNN-MIL
AUC
1
36
1mo ago
Camelyon16
ItS2CLR
AUC
94.25
27
5mo ago
Cervical Cancer Dataset
TOP
AUC
81.89
25
5mo ago
NCT-CRC 70% positive patch ratio
RNN-MIL
AUC
1
9
1mo ago
NCT-CRC 50% positive patch ratio
ABMIL
AUC
100
9
1mo ago
NCT-CRC 20% positive patch ratio
CLAM
AUC
1
9
1mo ago
NCT-CRC 10% positive patch ratio
IBMIL
AUC
100
9
1mo ago
Bone Marrow Cytology 0.5% Witness Rate (test)
SLAM-AGS
F1-score
66.4
5
1mo ago
Bone Marrow Cytology 1% Witness Rate (test)
SLAM-AGS
F1 Score
56.7
5
1mo ago
Bone Marrow Cytology 5% Witness Rate (test)
SLAM-AGS
F1-score
96
5
1mo ago
Bone Marrow Cytology 10% Witness Rate (test)
SLAM-AGS
F1-score
97.1
5
1mo ago
TCGA-Lung Cancer 1-shot
TOP (Instance+Bag Prompt-Learning)
AUC
0.7123
5
5mo ago
TCGA-Lung Cancer 2-shot
TOP (Instance+Bag Prompt-Learning)
AUC
72.45
5
5mo ago
TCGA-Lung Cancer 4-shot
TOP (Instance+Bag Prompt-Learning)
AUC
75.31
5
5mo ago
TCGA-Lung Cancer 8-shot
TOP (Instance+Bag Prompt-Learning)
AUC
0.8059
5
5mo ago
TCGA-Lung Cancer 16-shot
TOP (Instance+Bag Prompt-Learning)
AUC
0.8235
5
5mo ago
Breast Ultrasound
ItS2CLR
AUC
0.9393
5
5mo ago
TCGA-LUAD mutation
ItS2CLR
EGFR Mutation Accuracy
72.3
2
4mo ago
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