SOTAVerified

Retinal Vessel Segmentation

Retinal vessel segmentation is the task of segmenting vessels in retina imagery.

( Image credit: LadderNet )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–10 of 139 papers

TitleStatusHype
Dual encoding feature filtering generalized attention UNET for retinal vessel segmentationCode0
Novel Extraction of Discriminative Fine-Grained Feature to Improve Retinal Vessel SegmentationCode0
WMKA-Net: A Weighted Multi-Kernel Attention NetworkMethod for Retinal Vessel Segmentation—0
A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion EnhancementCode0
GrInAdapt: Scaling Retinal Vessel Structural Map Segmentation Through Grounding, Integrating and Adapting Multi-device, Multi-site, and Multi-modal Fundus Domains—0
Enhancing Retinal Vessel Segmentation Generalization via Layout-Aware Generative Modelling—0
Universal Vessel Segmentation for Multi-Modality Retinal Images—0
Full-scale Representation Guided Network for Retinal Vessel SegmentationCode1
Deep Learning for Ophthalmology: The State-of-the-Art and Future Trends—0
DGSSA: Domain generalization with structural and stylistic augmentation for retinal vessel segmentation—0
Show:102550
← PrevPage 1 of 14Next →
All datasetsDRIVECHASE_DB1STAREROSE-1 DVCROSE-1 SVCROSE-1 SVC-DVCROSE-2UZLFHRFINSPIRE-AVR (LUNet subset)

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1LUNetAverage Dice (0.5*Dice_a + 0.5*Dice_v)83.2—Unverified
2Junior OphtalmologistAverage Dice (0.5*Dice_a + 0.5*Dice_v)82.6—Unverified
3VascXAverage Dice (0.5*Dice_a + 0.5*Dice_v)80.6—Unverified
4AutomorphAverage Dice (0.5*Dice_a + 0.5*Dice_v)74—Unverified
5Little W-NetAverage Dice (0.5*Dice_a + 0.5*Dice_v)60.9—Unverified