Retinal Vessel Segmentation

45 papers with code • 8 benchmarks • 6 datasets

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

( Image credit: LadderNet )

Libraries

Use these libraries to find Retinal Vessel Segmentation models and implementations

Latest papers with no code

Enhancing Retinal Vascular Structure Segmentation in Images With a Novel Design Two-Path Interactive Fusion Module Model

no code yet • 3 Mar 2024

Precision in identifying and differentiating micro and macro blood vessels in the retina is crucial for the diagnosis of retinal diseases, although it poses a significant challenge.

A publicly available vessel segmentation algorithm for SLO images

no code yet • 29 Nov 2023

Background and Objective: Infra-red scanning laser ophthalmoscope (IRSLO) images are akin to colour fundus photographs in displaying the posterior pole and retinal vasculature fine detail.

FS-Net: Full Scale Network and Adaptive Threshold for Improving Extraction of Micro-Retinal Vessel Structures

no code yet • 14 Nov 2023

The proposed solution has been evaluated using the DRIVE, CHASE-DB1, and STARE datasets, and competitive results are obtained when compared with previous studies.

FRS-Nets: Fourier Parameterized Rotation and Scale Equivariant Networks for Retinal Vessel Segmentation

no code yet • 27 Sep 2023

To embed more equivariance into CNNs and achieve the accuracy requirement for retinal vessel segmentation, we construct a novel convolution operator (FRS-Conv), which is Fourier parameterized and equivariant to rotation and scaling.

Resolution-Aware Design of Atrous Rates for Semantic Segmentation Networks

no code yet • 26 Jul 2023

However, fixed values of atrous rates are used for the ASPP module, which restricts the size of its field of view.

RVD: A Handheld Device-Based Fundus Video Dataset for Retinal Vessel Segmentation

no code yet • NeurIPS 2023

Retinal vessel segmentation is generally grounded in image-based datasets collected with bench-top devices.

VesselMorph: Domain-Generalized Retinal Vessel Segmentation via Shape-Aware Representation

no code yet • 1 Jul 2023

We map the intensity image and the tensor field to a latent space for feature extraction.

Deep Angiogram: Trivializing Retinal Vessel Segmentation

no code yet • 1 Jul 2023

The generalizability of the synthetic network is improved by the contrastive loss that makes the model less sensitive to variations of image contrast and noisy features.

Overview of Deep Learning Methods for Retinal Vessel Segmentation

no code yet • 1 Jun 2023

Methods for automated retinal vessel segmentation play an important role in the treatment and diagnosis of many eye and systemic diseases.

Elongated Physiological Structure Segmentation via Spatial and Scale Uncertainty-aware Network

no code yet • 30 May 2023

Second, we extract the uncertainty under different scales and propose the multi-scale uncertainty-aware (MSUA) fusion module to integrate structure contexts from hierarchical predictions, strengthening the final prediction.