SOTAVerified

Retinal Vessel Segmentation

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

( Image credit: LadderNet )

Papers

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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1OCTAve: OCTA-NetDice Score81.42—Unverified
2OCTA-NetDice Score75.76—Unverified
3ResU-NetDice Score74.61—Unverified
4CE-NetDice Score73—Unverified
5U-NetDice Score70.12—Unverified