Glaucoma Detection on REFUGE 2.0 (test)
89.62AUCDiagFirstGT
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| DiagFirstGTDiagnosis Model=[27], Diagnosis Model Category=Deep Learning2022.02 | 89.62 | — | — | — | |
| DiagFirstGTDiagnosis Model=[28], Diagnosis Model Category=Deep Learning2022.02 | 88.86 | — | — | — | |
| AggNetDiagnosis Model=[27], Diagnosis Model Category=Deep Learning2022.02 | 87.5 | — | — | — | |
| STAPLEDiagnosis Model=[27], Diagnosis Model Category=Deep Learning2022.02 | 87 | — | — | — | |
| Max-MigDiagnosis Model=[27], Diagnosis Model Category=Deep Learning2022.02 | 86.76 | — | — | — | |
| DiagFirstGTDiagnosis Model=[15], Diagnosis Model Category=Deep Learning2022.02 | 86.27 | — | — | — | |
| MVDiagnosis Model=[27], Diagnosis Model Category=Deep Learning2022.02 | 86.23 | — | — | — | |
| STAPLEDiagnosis Model=[28], Diagnosis Model Category=Deep Learning2022.02 | 86.18 | — | — | — | |
| AggNetDiagnosis Model=[28], Diagnosis Model Category=Deep Learning2022.02 | 85.75 | — | — | — | |
| Max-MigDiagnosis Model=[28], Diagnosis Model Category=Deep Learning2022.02 | 85.73 | — | — | — | |
| MVDiagnosis Model=[28], Diagnosis Model Category=Deep Learning2022.02 | 85.55 | — | — | — | |
| RandomDiagnosis Model=[27], Diagnosis Model Category=Deep Learning2022.02 | 85.07 | — | — | — | |
| RandomDiagnosis Model=[28], Diagnosis Model Category=Deep Learning2022.02 | 84.34 | — | — | — | |
| STAPLEDiagnosis Model=[15], Diagnosis Model Category=Deep Learning2022.02 | 84.17 | — | — | — | |
| Max-MigDiagnosis Model=[15], Diagnosis Model Category=Deep Learning2022.02 | 83.88 | — | — | — | |
| AggNetDiagnosis Model=[15], Diagnosis Model Category=Deep Learning2022.02 | 83.8 | — | — | — | |
| MVDiagnosis Model=[15], Diagnosis Model Category=Deep Learning2022.02 | 83.65 | — | — | — | |
| RandomDiagnosis Model=[15], Diagnosis Model Category=Deep Learning2022.02 | 82.76 | — | — | — | |
| DiagFirstGTDiagnosis Model=[17], Diagnosis Model Category=Deep Learning2022.02 | 82.2 | — | — | — | |
| STAPLEDiagnosis Model=[17], Diagnosis Model Category=Deep Learning2022.02 | 81.23 | — | — | — | |
| MVDiagnosis Model=[17], Diagnosis Model Category=Deep Learning2022.02 | 80.54 | — | — | — | |
| AggNetDiagnosis Model=[17], Diagnosis Model Category=Deep Learning2022.02 | 80.42 | — | — | — | |
| Max-MigDiagnosis Model=[17], Diagnosis Model Category=Deep Learning2022.02 | 80.31 | — | — | — | |
| NoMaskDiagnosis Model=[28], Diagnosis Model Category=Deep Learning2022.02 | 80.06 | — | — | — | |
| RandomDiagnosis Model=[17], Diagnosis Model Category=Deep Learning2022.02 | 79.74 | — | — | — | |
| DiagFirstGTDiagnosis Model=[19], Diagnosis Model Category=vCDR2022.02 | 79.23 | — | — | — | |
| NoMaskDiagnosis Model=[15], Diagnosis Model Category=Deep Learning2022.02 | 79.21 | — | — | — | |
| NoMaskDiagnosis Model=[27], Diagnosis Model Category=Deep Learning2022.02 | 79.18 | — | — | — | |
| NoMaskDiagnosis Model=[17], Diagnosis Model Category=Deep Learning2022.02 | 77.45 | — | — | — | |
| STAPLEDiagnosis Model=[19], Diagnosis Model Category=vCDR2022.02 | 77.41 | — | — | — | |
| MVDiagnosis Model=[19], Diagnosis Model Category=vCDR2022.02 | 76.04 | — | — | — | |
| AggNetDiagnosis Model=[19], Diagnosis Model Category=vCDR2022.02 | 75.91 | — | — | — | |
| Max-MigDiagnosis Model=[19], Diagnosis Model Category=vCDR2022.02 | 75.02 | — | — | — | |
| DiagFirstGTDiagnosis Model=[6], Diagnosis Model Category=vCDR2022.02 | 74.12 | — | — | — | |
| RandomDiagnosis Model=[19], Diagnosis Model Category=vCDR2022.02 | 73.34 | — | — | — | |
| MVDiagnosis Model=[6], Diagnosis Model Category=vCDR2022.02 | 72.2 | — | — | — | |
| STAPLEDiagnosis Model=[6], Diagnosis Model Category=vCDR2022.02 | 71.66 | — | — | — | |
| AggNetDiagnosis Model=[6], Diagnosis Model Category=vCDR2022.02 | 71.25 | — | — | — | |
| Max-MigDiagnosis Model=[6], Diagnosis Model Category=vCDR2022.02 | 70.14 | — | — | — | |
| RandomDiagnosis Model=[6], Diagnosis Model Category=vCDR2022.02 | 68.79 | — | — | — | |
| ResNet-50Training Set=REFUGE2-Train, Extra Data=N/A, #Samples=6402025.05 | — | 85.62 | 78.42 | 0.3935 | |
| ResNet-50Training Set=REFUGE2-Train, Extra Data=RetinaLogos, #Samples=9117+6402025.05 | — | 93.75 | 85.37 | 0.5505 | |
| ViT-B/16Training Set=REFUGE2-Train, Extra Data=N/A, #Samples=6402025.05 | — | 90.37 | 86.15 | 0.6833 | |
| ViT-B/16Training Set=REFUGE2-Train, Extra Data=RetinaLogos, #Samples=9117+6402025.05 | — | 97.62 | 93.13 | 0.8627 |