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SOTA Retinal Vessel Segmentation benchmarks and papers with code | Wizwand
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Retinal Vessel Segmentation
Benchmarks
Dataset Name
SOTA Method
Dataset Name
SOTA Method
Metric
Trend
Results
Last Updated
DRIVE (test)
RV-GAN
Accuracy
97.9
52
3d ago
CHASE DB1
FR-UNet
Sensitivity (SE)
87.98
47
1mo ago
STARE
RV-GAN
mIoU
97.54
43
9d ago
DRIVE
LadderNet
Sensitivity (SE)
78.56
34
9d ago
RECOVERY FA19
WaveRNet
Dice
41.75
17
1mo ago
HRF (test)
TFFM framework
Dice
79.94
17
4d ago
HRF
FSG-Net
mIoU
0.8309
17
1mo ago
STARE (test)
Liskowski et al.
TPR
85.54
16
1mo ago
RECOVERY S4 FA19 (in-domain)
WaveRNet
Dice
60.33
15
1mo ago
CHASE_DB1 S3 (in-domain)
WaveRNet
Dice
81.94
15
1mo ago
STARE S2 (in-domain)
WaveRNet
Dice
79.39
15
1mo ago
DRIVE S1 (in-domain)
WaveRNet
Dice
80.46
15
1mo ago
HRF
VFGS-Net
Dice
85.6
7
1mo ago
Retinal Vessel Dataset DRIVE and CHASE_DB1 cross-validation (test)
HMS-VesselNet
Dice Score
89.7
6
25d ago
DRIVE evaluated on unseen Swin model outputs (test)
rNCA
DICE
0.776
6
1mo ago
CHASE (test)
DUNet
TPR
82.29
6
1mo ago
CHASEDB1
FGOS-Net
mIoU
80.45
4
18d ago
CHASE-DB1 With Masks
IterNet
Connectivity
90.91
4
1mo ago
CHASE-DB1 (Without Masks)
IterNet
Connectivity
90.91
4
1mo ago
MedSAM 1.0 (test)
DB-SAM
DSC
6,753
3
1mo ago
SYNTHE
DUNet
PPV
0.8537
3
1mo ago
RETA (test)
TFFM framework
Dice
82.18
1
1mo ago
CHASEDB1 (test)
TFFM framework
Dice
0.8061
1
1mo ago
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