Retinal Vessel Segmentation
46 papers with code • 8 benchmarks • 6 datasets
Retinal vessel segmentation is the task of segmenting vessels in retina imagery.
( Image credit: LadderNet )
Benchmarks
These leaderboards are used to track progress in Retinal Vessel Segmentation
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Libraries
Use these libraries to find Retinal Vessel Segmentation models and implementations
DRIVE
STARE
CHASE_DB1
HRF
ROSE
SMDG
Most implemented papers
Dense Residual Network for Retinal Vessel Segmentation
But for other retinal imaging modalities, more research is needed to explore vascular extraction.
The Little W-Net That Could: State-of-the-Art Retinal Vessel Segmentation with Minimalistic Models
agaldran/lwnet
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Our analysis demonstrates that the retinal vessel segmentation problem is far from solved when considering test images that differ substantially from the training data, and that this task represents an ideal scenario for the exploration of domain adaptation techniques.
RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs using a Novel Multi-scale Generative Adversarial Network
SharifAmit/RVGAN
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In order to avoid the loss of fidelity suffered by traditional GAN-based segmentation systems, we introduce a novel weighted feature matching loss.
Learning to Address Intra-segment Misclassification in Retinal Imaging
rmaphoh/Learning_AVSegmentation
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Accurate multi-class segmentation is a long-standing challenge in medical imaging, especially in scenarios where classes share strong similarity.
Retinal Image Restoration and Vessel Segmentation using Modified Cycle-CBAM and CBAM-UNet
AAleka/Cycle-CBAM-and-CBAM-UNet
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The retinal vessel segmentation performance was compared with the ground-truth fundus images.
BTS-DSN: Deeply Supervised Neural Network with Short Connections for Retinal Vessel Segmentation
Results: The proposed BTS-DSN has been verified on DRIVE, STARE and CHASE_DB1 datasets, and showed competitive performance over other state-of-the-art methods.
Deep Vessel Segmentation By Learning Graphical Connectivity
syshin1014/VGN
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We propose a novel deep-learning-based system for vessel segmentation.
Retinal vessel segmentation based on Fully Convolutional Neural Networks
The retinal vascular condition is a reliable biomarker of several ophthalmologic and cardiovascular diseases, so automatic vessel segmentation may be crucial to diagnose and monitor them.
Deep iterative vessel segmentation in OCT angiography
RViMLab/BOE2020-OCTA-vessel-segmentation
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This paper addresses retinal vessel segmentation on optical coherence tomography angiography (OCT-A) images of the human retina.
Modeling and Enhancing Low-quality Retinal Fundus Images
Retinal fundus images are widely used for the clinical screening and diagnosis of eye diseases.
