SOTAVerified

Retinal Vessel Segmentation

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

( Image credit: LadderNet )

Papers

Showing 101139 of 139 papers

TitleStatusHype
Patch-based Generative Adversarial Network Towards Retinal Vessel Segmentation0
IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel NetworksCode0
HybridNetSeg: A Compact Hybrid Network for Retinal Vessel Segmentation0
Retinal Vessel Segmentation based on Fully Convolutional NetworksCode1
What Do We Really Need? Degenerating U-Net on Retinal Vessel Segmentation0
Lesson Learnt: Modularization of Deep Networks Allow Cross-Modality Reuse0
Penalizing small errors using an Adaptive Logarithmic Loss0
ErrorNet: Learning error representations from limited data to improve vascular segmentation0
A Refined Equilibrium Generative Adversarial Network for Retinal Vessel Segmentation0
Automated retinal vessel segmentation based on morphological preprocessing and 2D-Gabor wavelets0
A Two Stage GAN for High Resolution Retinal Image Generation and Segmentation0
A Divide-and-Conquer Approach towards Understanding Deep Networks0
Accurate Retinal Vessel Segmentation via Octave Convolution Neural NetworkCode0
A Segmentation-Oriented Inter-Class Transfer Method: Application to Retinal Vessel Segmentation0
Particle Swarm Optimization for Great Enhancement in Semi-Supervised Retinal Vessel Segmentation with Generative Adversarial Networks0
Deep Dilated Convolutional Nets for the Automatic Segmentation of Retinal Vessels0
Dynamic Deep Networks for Retinal Vessel SegmentationCode0
Connection Sensitive Attention U-NET for Accurate Retinal Vessel Segmentation0
Retinal vessel segmentation based on Fully Convolutional Neural NetworksCode1
M2U-Net: Effective and Efficient Retinal Vessel Segmentation for Resource-Constrained Environments0
DUNet: A deformable network for retinal vessel segmentation0
LadderNet: Multi-path networks based on U-Net for medical image segmentationCode0
Retinal Vessel Segmentation under Extreme Low Annotation: A Generative Adversarial Network Approach0
Scale Space Approximation in Convolutional Neural Networks for Retinal Vessel Segmentation0
Deep Vessel Segmentation By Learning Graphical ConnectivityCode0
Deep supervision with additional labels for retinal vessel segmentation task0
Retinal Vessel Segmentation Based on Conditional Deep Convolutional Generative Adversarial Networks0
BTS-DSN: Deeply Supervised Neural Network with Short Connections for Retinal Vessel SegmentationCode0
Low complexity convolutional neural network for vessel segmentation in portable retinal diagnostic devices0
Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image SegmentationCode0
PixelBNN: Augmenting the PixelCNN with batch normalization and the presentation of a fast architecture for retinal vessel segmentation0
Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial NetworksCode0
A Fully Convolutional Neural Network based Structured Prediction Approach Towards the Retinal Vessel Segmentation0
Deep Neural Ensemble for Retinal Vessel Segmentation in Fundus Images towards Achieving Label-free Angiography0
Retinal Vessel Segmentation Using A New Topological Method0
DASA: Domain Adaptation in Stacked Autoencoders using Systematic Dropout0
U-Net: Convolutional Networks for Biomedical Image SegmentationCode3
Ant Colony based Feature Selection Heuristics for Retinal Vessel Segmentation0
A Novel Retinal Vessel Segmentation Based On Histogram Transformation Using 2-D Morlet Wavelet and Supervised Classification0
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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