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SOTA Diabetic Retinopathy Classification benchmarks and papers with code | Wizwand
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Diabetic Retinopathy Classification
Benchmarks
Dataset Name
SOTA Method
Dataset Name
SOTA Method
Metric
Trend
Results
Last Updated
DeepDR (test)
Fishr
Accuracy
0.61
30
3mo ago
Messidor (test)
Dual-IFM
AUC
86.8
17
2mo ago
DR (test)
AdaCBM
Accuracy
78.3
14
3mo ago
Retina (test)
HypCBC
AUC
80.48
13
3mo ago
Retina (val)
RandAug
AUC
0.8785
13
3mo ago
RLDR (test)
DECO
AUC
81.1
13
3mo ago
IDRiD (test)
DECO
AUC
74.2
13
3mo ago
Diabetic Retinopathy (APTOS, DDR, DRD) (test)
UniPrompt-CL
Average Accuracy
84.4
9
2mo ago
Amalgamated dataset (test)
Multi Channel Architecture with LID
Accuracy
85.2
7
21d ago
MESSIDOR-2
RET-CLIP
AUROC
0.951
7
3mo ago
Messidor
GenEval
Accuracy
69.48
6
2mo ago
EyePACS
GenEval
Accuracy
80.04
6
2mo ago
APTOS
SPSD-ViT
Accuracy
75.1
6
2mo ago
Hybrid dataset (Integrated APTOS 2019, DDR, IDRiD, Messidor 2, and Retino) (test)
VR-FuseNet
Accuracy
91.824
6
3mo ago
APTOS 2019
UrFound
AUROC
0.949
6
3mo ago
APTOS 2019 (test)
TIMM-ProRS
Accuracy
97.8
5
3mo ago
Messidor
GenEval
F1 Score
78.2
4
2mo ago
BRSET ICDR scheme (test)
SOTA
Accuracy
98.7
4
3mo ago
DR cohort (val + test union split)
BiomedCLIP
AUC
0.8587
3
20d ago
DR cohort (test)
BiomedCLIP
AUC
0.8358
3
20d ago
RLDL
GenEval
Accuracy
67.6
3
2mo ago
DeepDR
GenEval
Accuracy
59.2
3
2mo ago
Messidor
DECO
Accuracy
70.1
3
2mo ago
BRSET SDRG scheme (test)
CLIP
Accuracy
97.73
3
3mo ago
Diabetic Retinopathy MDG setting
MedXAI (Fusion)
F1 (Grade 3)
50.1
2
3mo ago
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