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SOTA Alzheimer's disease classification benchmarks and papers with code | Wizwand
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Alzheimer's disease classification
Benchmarks
Dataset Name
SOTA Method
Dataset Name
SOTA Method
Metric
Trend
Results
Last Updated
ADNI (test)
MLP
Accuracy
90.6
92
1mo ago
TADPOLE
Spectral-GCN
AUC
100
28
4mo ago
ADNI 137 (test)
T1 Only (Augmented)
Accuracy
0.7139
23
4mo ago
NACC n=289 (test)
MATCH-AD
Accuracy
0.984
13
4mo ago
ADNI-2DPC (test)
NeuroAPS-Net
Accuracy
84.85
10
2mo ago
NACC 90% Labels (test)
MATCH-AD
Accuracy
95
9
4mo ago
NACC 80% Labels (test)
MATCH-AD
Accuracy
91.9
9
4mo ago
NACC 60% Labels (test)
MATCH-AD
Accuracy
85
9
4mo ago
NACC 40% Labels (test)
MATCH-AD
Accuracy
76.8
9
4mo ago
NACC 20% Labels (test)
MATCH-AD
Accuracy
68.8
9
4mo ago
NACC 5% Labels (test)
RandomForest
Accuracy
63.3
9
4mo ago
MCI Screener (test)
GRA
Rule Set Accuracy (RSA)
74
7
1mo ago
GSE140831 (test)
engGNN
Accuracy
78.8
7
4mo ago
OASIS MRI (90:10)
TDA+DenseNet121
Accuracy
99.93
6
4mo ago
OASIS MRI (80:20)
Novel CNN Architecture
Accuracy
98.92
6
4mo ago
BRISC 2025
PseudoColorViT
Precision
98.99
4
4mo ago
Kaggle Alzheimer's Clinical Dataset (test)
Gradient Boosting
Accuracy
86.07
4
4mo ago
Clinical (Kaggle)
Grad. Boost
Accuracy
93.9
3
1mo ago
OASIS Kaggle MRI (70:30)
CNN (DA + augmentation)
Accuracy
99.68
3
4mo ago
MRI + PET
Multi-task SVM
AUC
87
1
1mo ago
PET scan
Deep learning
AUC
96
1
1mo ago
MRI + clinical
SVM
AUC
91
1
1mo ago
1,024 features dataset
SVM
Accuracy
90.7
1
1mo ago
Clinical + biomarkers
XGBoost
AUC
84
1
1mo ago
MRI + genetics
RF + SVM
Accuracy
87.5
1
1mo ago
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