SOTAVerified

Retinal Vessel Segmentation

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

( Image credit: LadderNet )

Papers

Showing 1–50 of 139 papers

TitleStatusHype
U-Net: Convolutional Networks for Biomedical Image SegmentationCode3
Deep iterative vessel segmentation in OCT angiographyCode1
Physiology-based simulation of the retinal vasculature enables annotation-free segmentation of OCT angiographsCode1
Dense Residual Network for Retinal Vessel SegmentationCode1
G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image SegmentationCode1
AADG: Automatic Augmentation for Domain Generalization on Retinal Image SegmentationCode1
The Little W-Net That Could: State-of-the-Art Retinal Vessel Segmentation with Minimalistic ModelsCode1
Topology-aware Mamba for Crack Segmentation in StructuresCode1
Residual Spatial Attention Network for Retinal Vessel SegmentationCode1
Synthetic optical coherence tomography angiographs for detailed retinal vessel segmentation without human annotationsCode1
Full-Resolution Network and Dual-Threshold Iteration for Retinal Vessel and Coronary Angiograph SegmentationCode1
Full-scale Representation Guided Network for Retinal Vessel SegmentationCode1
SA-UNet: Spatial Attention U-Net for Retinal Vessel SegmentationCode1
RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs using a Novel Multi-scale Generative Adversarial NetworkCode1
Unsupervised Domain Adaptation for Cross-Modality Retinal Vessel Segmentation via Disentangling Representation Style Transfer and Collaborative Consistency LearningCode1
Study Group Learning: Improving Retinal Vessel Segmentation Trained with Noisy LabelsCode1
An Elastic Interaction-Based Loss Function for Medical Image SegmentationCode1
Modeling and Enhancing Low-quality Retinal Fundus ImagesCode1
Channel Attention Residual U-Net for Retinal Vessel SegmentationCode1
Retinal Vessel Segmentation based on Fully Convolutional NetworksCode1
Learning to Address Intra-segment Misclassification in Retinal ImagingCode1
DR-VNet: Retinal Vessel Segmentation via Dense Residual UNetCode1
Segmentation of Blood Vessels, Optic Disc Localization, Detection of Exudates and Diabetic Retinopathy Diagnosis from Digital Fundus ImagesCode1
OCTAve: 2D en face Optical Coherence Tomography Angiography Vessel Segmentation in Weakly-Supervised Learning with Locality AugmentationCode1
Retinal vessel segmentation based on Fully Convolutional Neural NetworksCode1
Retinal Image Restoration and Vessel Segmentation using Modified Cycle-CBAM and CBAM-UNetCode1
An Accurate and Efficient Neural Network for OCTA Vessel Segmentation and a New DatasetCode1
Retinal Vessel Segmentation with Pixel-wise Adaptive FiltersCode1
VascX Models: Model Ensembles for Retinal Vascular Analysis from Color Fundus ImagesCode1
ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New ModelCode1
An Active Contour Model Using Matched Filter and Hessian Matrix for Retinal Vessels SegmentationCode1
Exploring The Limits Of Data Augmentation For Retinal Vessel SegmentationCode1
Exploring Generalizable Distillation for Efficient Medical Image SegmentationCode0
Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial NetworksCode0
Conformal Performance Range Prediction for Segmentation Output Quality ControlCode0
EAR-NET: Error Attention Refining Network For Retinal Vessel SegmentationCode0
Dynamic Deep Networks for Retinal Vessel SegmentationCode0
AC-Norm: Effective Tuning for Medical Image Analysis via Affine Collaborative NormalizationCode0
Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image SegmentationCode0
Block Attention and Switchable Normalization Based Deep Learning Framework for Segmentation of Retinal VesselsCode0
A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion EnhancementCode0
LUNet: Deep Learning for the Segmentation of Arterioles and Venules in High Resolution Fundus ImagesCode0
Novel Extraction of Discriminative Fine-Grained Feature to Improve Retinal Vessel SegmentationCode0
AdaptDiff: Cross-Modality Domain Adaptation via Weak Conditional Semantic Diffusion for Retinal Vessel SegmentationCode0
Deep Vessel Segmentation By Learning Graphical ConnectivityCode0
Dual encoding feature filtering generalized attention UNET for retinal vessel segmentationCode0
A new baseline for retinal vessel segmentation: Numerical identification and correction of methodological inconsistencies affecting 100+ papersCode0
IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel NetworksCode0
LadderNet: Multi-path networks based on U-Net for medical image segmentationCode0
BTS-DSN: Deeply Supervised Neural Network with Short Connections for Retinal Vessel SegmentationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Swin-Res-NetAUC0.99—Unverified
2FR-UNetAUC0.99—Unverified
3Study Group LearningAUC0.99—Unverified
4SA-UNetAUC0.99—Unverified
5DEFFA-UnetAUC0.99—Unverified
6U-NetAUC0.99—Unverified
7DA-NetAUC0.98—Unverified
8FSG-NetAUC0.98—Unverified
9IterNetAUC0.98—Unverified
10VGNAUC0.98—Unverified
#ModelMetricClaimedVerifiedStatus
1FSG-NetAUC0.99—Unverified
2Study Group LearningAUC0.99—Unverified
3RV-GANAUC0.99—Unverified
4FR-UNetAUC0.99—Unverified
5SA-UNetAUC0.99—Unverified
6IterNetAUC0.99—Unverified
7LadderNetAUC0.98—Unverified
8VGNAUC0.98—Unverified
9DEFFA-UnetAUC0.98—Unverified
10R2U-NetAUC0.98—Unverified
#ModelMetricClaimedVerifiedStatus
1DA-NetAUC0.99—Unverified
2R2U-NetAUC0.99—Unverified
3FSG-NetAUC0.99—Unverified
4RV-GANAUC0.99—Unverified
5VGNAUC0.99—Unverified
6DEFFA-UnetAUC0.98—Unverified
7DUNetAUC0.98—Unverified
8U-Net ASPPmIOU0.9—Unverified
9Residual U-NetF1 score0.84—Unverified
#ModelMetricClaimedVerifiedStatus
1OCTA-NetDice Score70.74—Unverified
2U-NetDice Score66.05—Unverified
3ResU-NetDice Score65.67—Unverified
4OCTAve: OCTA-NetDice Score62.55—Unverified
5CE-NetDice Score57.83—Unverified
#ModelMetricClaimedVerifiedStatus
1OCTAve: OCTA-NetDice Score78.03—Unverified
2OCTA-NetDice Score76.97—Unverified
3CE-NetDice Score75.11—Unverified
4ResU-NetDice Score74.61—Unverified
5U-NetDice Score71.16—Unverified
#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
#ModelMetricClaimedVerifiedStatus
1OCTAve: OCTA-NetDice Score71.18—Unverified
2OCTA-NetDice Score70.77—Unverified
3CE-NetDice Score70.66—Unverified
4ResU-NetDice Score67.25—Unverified
5U-NetDice Score65.64—Unverified
#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
#ModelMetricClaimedVerifiedStatus
1FSG-NetAUC0.99—Unverified
2DEFFA-UnetAUC0.98—Unverified
3VGNAUC0.98—Unverified
4U-Net ASPPmIoU0.9—Unverified
#ModelMetricClaimedVerifiedStatus
1LUNetAverage Dice75.6—Unverified