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

G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation

SLDGroup/G-CASCADE 24 Oct 2023

The encoder utilizes the self-attention mechanism to capture long-range dependencies, while the decoder refines the feature maps preserving long-range information due to the global receptive fields of the graph convolution block.

26
24 Oct 2023

An Accurate and Efficient Neural Network for OCTA Vessel Segmentation and a New Dataset

nhjydywd/octa-frnet 18 Sep 2023

Optical coherence tomography angiography (OCTA) is a noninvasive imaging technique that can reveal high-resolution retinal vessels.

11
18 Sep 2023

AC-Norm: Effective Tuning for Medical Image Analysis via Affine Collaborative Normalization

endoluminalsurgicalvision-imr/acnorm 28 Jul 2023

Driven by the latest trend towards self-supervised learning (SSL), the paradigm of "pretraining-then-finetuning" has been extensively explored to enhance the performance of clinical applications with limited annotations.

3
28 Jul 2023

Synthetic optical coherence tomography angiographs for detailed retinal vessel segmentation without human annotations

tum-aimed/octa-seg 19 Jun 2023

To address this issue, recent work has employed transfer learning, where a segmentation network is trained on synthetic OCTA images and is then applied to real data.

17
19 Jun 2023

Block Attention and Switchable Normalization Based Deep Learning Framework for Segmentation of Retinal Vessels

sabrid369/BFMD-SN-U-net IEEE Access 2023

The presence of high blood sugar levels damages blood vessels and causes an eye condition called diabetic retinopathy.

8
10 Apr 2023

Deep Learning Architectures for Diagnosis of Diabetic Retinopathy

alberto-solano/drive-convmixer MDPI Applied Sciences 2023

For many years, convolutional neural networks dominated the field of computer vision, not least in the medical field, where problems such as image segmentation were addressed by such networks as the U-Net.

2
31 Mar 2023

Retinal Image Restoration and Vessel Segmentation using Modified Cycle-CBAM and CBAM-UNet

aaleka/cycle-cbam-and-cbam-unet 9 Sep 2022

The retinal vessel segmentation performance was compared with the ground-truth fundus images.

9
09 Sep 2022

AADG: Automatic Augmentation for Domain Generalization on Retinal Image Segmentation

crazorback/aadg 27 Jul 2022

To address this issue, we propose a data manipulation based domain generalization method, called Automated Augmentation for Domain Generalization (AADG).

43
27 Jul 2022

Exploring Generalizable Distillation for Efficient Medical Image Segmentation

xingqunqi-lab/gkd-framework 26 Jul 2022

Considering the domain-invariant representative vectors in MSAN, we propose two generalizable knowledge distillation schemes for cross-domain distillation, Dual Contrastive Graph Distillation (DCGD) and Domain-Invariant Cross Distillation (DICD).

5
26 Jul 2022

OCTAve: 2D en face Optical Coherence Tomography Angiography Vessel Segmentation in Weakly-Supervised Learning with Locality Augmentation

IoBT-VISTEC/OCTAve 25 Jul 2022

In this work, we propose the application of the scribble-base weakly-supervised learning method to automate the pixel-level annotation.

10
25 Jul 2022