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Benchmarks
Retinal Vessel Segmentation on CHASE-DB1 With Masks
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90.91
Connectivity
IterNet
81.6228
84.0339
86.445
88.8561
Dec 12, 2019
Connectivity
F1 Score
Sensitivity
Specificity
Accuracy
AUC
Updated 3d ago
Evaluation Results
Method
Method
Links
Connectivity
F1 Score
Sensitivity
Specificity
Accuracy
AUC
IterNet
Year=2019
2019.12
90.91
80.73
79.7
98.23
96.55
98.51
DUNet
Year=2019
2019.12
84.02
80.01
78.59
98.22
96.44
98.34
DenseBlock-UNet
Year=2018
2019.12
82.69
80.06
81.78
97.75
96.31
98.26
UNet
Year=2018
2019.12
81.98
79.93
78.41
98.23
96.43
98.12
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