SOTAVerified

Retinal Vessel Segmentation

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

( Image credit: LadderNet )

Papers

Showing 150 of 139 papers

TitleStatusHype
U-Net: Convolutional Networks for Biomedical Image SegmentationCode3
Deep iterative vessel segmentation in OCT angiographyCode1
Learning to Address Intra-segment Misclassification in Retinal ImagingCode1
G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image SegmentationCode1
Segmentation of Blood Vessels, Optic Disc Localization, Detection of Exudates and Diabetic Retinopathy Diagnosis from Digital Fundus ImagesCode1
AADG: Automatic Augmentation for Domain Generalization on Retinal Image SegmentationCode1
Physiology-based simulation of the retinal vasculature enables annotation-free segmentation of OCT angiographsCode1
ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New ModelCode1
Topology-aware Mamba for Crack Segmentation in StructuresCode1
Channel Attention Residual U-Net for Retinal Vessel SegmentationCode1
DR-VNet: Retinal Vessel Segmentation via Dense Residual UNetCode1
Dense Residual Network for Retinal Vessel SegmentationCode1
Retinal Vessel Segmentation based on Fully Convolutional NetworksCode1
An Elastic Interaction-Based Loss Function for Medical Image SegmentationCode1
RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs using a Novel Multi-scale Generative Adversarial NetworkCode1
OCTAve: 2D en face Optical Coherence Tomography Angiography Vessel Segmentation in Weakly-Supervised Learning with Locality AugmentationCode1
Retinal Image Restoration and Vessel Segmentation using Modified Cycle-CBAM and CBAM-UNetCode1
Retinal Vessel Segmentation with Pixel-wise Adaptive FiltersCode1
Study Group Learning: Improving Retinal Vessel Segmentation Trained with Noisy LabelsCode1
The Little W-Net That Could: State-of-the-Art Retinal Vessel Segmentation with Minimalistic ModelsCode1
Unsupervised Domain Adaptation for Cross-Modality Retinal Vessel Segmentation via Disentangling Representation Style Transfer and Collaborative Consistency LearningCode1
VascX Models: Model Ensembles for Retinal Vascular Analysis from Color Fundus ImagesCode1
Exploring The Limits Of Data Augmentation For Retinal Vessel SegmentationCode1
Full-scale Representation Guided Network for Retinal Vessel SegmentationCode1
Modeling and Enhancing Low-quality Retinal Fundus ImagesCode1
Synthetic optical coherence tomography angiographs for detailed retinal vessel segmentation without human annotationsCode1
An Accurate and Efficient Neural Network for OCTA Vessel Segmentation and a New DatasetCode1
SA-UNet: Spatial Attention U-Net for Retinal Vessel SegmentationCode1
Retinal vessel segmentation based on Fully Convolutional Neural NetworksCode1
Residual Spatial Attention Network for Retinal Vessel SegmentationCode1
An Active Contour Model Using Matched Filter and Hessian Matrix for Retinal Vessels SegmentationCode1
Full-Resolution Network and Dual-Threshold Iteration for Retinal Vessel and Coronary Angiograph SegmentationCode1
DASA: Domain Adaptation in Stacked Autoencoders using Systematic Dropout0
DA-Net: A Disentangled and Adaptive Network for Multi-Source Cross-Lingual Transfer Learning0
A Segmentation-Oriented Inter-Class Transfer Method: Application to Retinal Vessel Segmentation0
Convolutional Prompting for Broad-Domain Retinal Vessel Segmentation0
Contextual Information Enhanced Convolutional Neural Networks for Retinal Vessel Segmentation in Color Fundus Images0
A publicly available vessel segmentation algorithm for SLO images0
Connection Sensitive Attention U-NET for Accurate Retinal Vessel Segmentation0
Ant Colony based Feature Selection Heuristics for Retinal Vessel Segmentation0
A Fully Convolutional Neural Network based Structured Prediction Approach Towards the Retinal Vessel Segmentation0
DUNet: A deformable network for retinal vessel segmentation0
A Novel Retinal Vessel Segmentation Based On Histogram Transformation Using 2-D Morlet Wavelet and Supervised Classification0
Genetic U-Net: Automatically Designed Deep Networks for Retinal Vessel Segmentation Using a Genetic Algorithm0
GrInAdapt: Scaling Retinal Vessel Structural Map Segmentation Through Grounding, Integrating and Adapting Multi-device, Multi-site, and Multi-modal Fundus Domains0
ErrorNet: Learning error representations from limited data to improve vascular segmentation0
Domain generalization for retinal vessel segmentation via Hessian-based vector field0
Boosting Connectivity in Retinal Vessel Segmentation via a Recursive Semantics-Guided Network0
DGSSA: Domain generalization with structural and stylistic augmentation for retinal vessel segmentation0
Blindness (Diabetic Retinopathy) Severity Scale Detection0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Swin-Res-NetAUC0.99Unverified
2FR-UNetAUC0.99Unverified
3Study Group LearningAUC0.99Unverified
4SA-UNetAUC0.99Unverified
5DEFFA-UnetAUC0.99Unverified
6U-NetAUC0.99Unverified
7DA-NetAUC0.98Unverified
8FSG-NetAUC0.98Unverified
9IterNetAUC0.98Unverified
10VGNAUC0.98Unverified
#ModelMetricClaimedVerifiedStatus
1FSG-NetAUC0.99Unverified
2Study Group LearningAUC0.99Unverified
3RV-GANAUC0.99Unverified
4FR-UNetAUC0.99Unverified
5SA-UNetAUC0.99Unverified
6IterNetAUC0.99Unverified
7LadderNetAUC0.98Unverified
8VGNAUC0.98Unverified
9DEFFA-UnetAUC0.98Unverified
10R2U-NetAUC0.98Unverified
#ModelMetricClaimedVerifiedStatus
1DA-NetAUC0.99Unverified
2R2U-NetAUC0.99Unverified
3FSG-NetAUC0.99Unverified
4RV-GANAUC0.99Unverified
5VGNAUC0.99Unverified
6DEFFA-UnetAUC0.98Unverified
7DUNetAUC0.98Unverified
8U-Net ASPPmIOU0.9Unverified
9Residual U-NetF1 score0.84Unverified
#ModelMetricClaimedVerifiedStatus
1OCTA-NetDice Score70.74Unverified
2U-NetDice Score66.05Unverified
3ResU-NetDice Score65.67Unverified
4OCTAve: OCTA-NetDice Score62.55Unverified
5CE-NetDice Score57.83Unverified
#ModelMetricClaimedVerifiedStatus
1OCTAve: OCTA-NetDice Score78.03Unverified
2OCTA-NetDice Score76.97Unverified
3CE-NetDice Score75.11Unverified
4ResU-NetDice Score74.61Unverified
5U-NetDice Score71.16Unverified
#ModelMetricClaimedVerifiedStatus
1OCTAve: OCTA-NetDice Score81.42Unverified
2OCTA-NetDice Score75.76Unverified
3ResU-NetDice Score74.61Unverified
4CE-NetDice Score73Unverified
5U-NetDice Score70.12Unverified
#ModelMetricClaimedVerifiedStatus
1OCTAve: OCTA-NetDice Score71.18Unverified
2OCTA-NetDice Score70.77Unverified
3CE-NetDice Score70.66Unverified
4ResU-NetDice Score67.25Unverified
5U-NetDice Score65.64Unverified
#ModelMetricClaimedVerifiedStatus
1LUNetAverage Dice (0.5*Dice_a + 0.5*Dice_v)83.2Unverified
2Junior OphtalmologistAverage Dice (0.5*Dice_a + 0.5*Dice_v)82.6Unverified
3VascXAverage Dice (0.5*Dice_a + 0.5*Dice_v)80.6Unverified
4AutomorphAverage Dice (0.5*Dice_a + 0.5*Dice_v)74Unverified
5Little W-NetAverage Dice (0.5*Dice_a + 0.5*Dice_v)60.9Unverified
#ModelMetricClaimedVerifiedStatus
1FSG-NetAUC0.99Unverified
2DEFFA-UnetAUC0.98Unverified
3VGNAUC0.98Unverified
4U-Net ASPPmIoU0.9Unverified
#ModelMetricClaimedVerifiedStatus
1LUNetAverage Dice75.6Unverified