Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Terahertz Dielectric Characterization and Hybrid Debye-Lorentz Modeling of Silicone Rubber Composites for Composite Insulators.

Polymers·2026

Same author

ENPP1 blockade with a humanized monoclonal antibody enhances renal repair after acute kidney injury.

Cell stem cell·2026

Same author

Large-scale, spatially resolved panoramic CRISPR screening in native tissue environments using Perturb-DBiT.

Nature biotechnology·2026

Same author

Spatially resolved m<sup>6</sup>A profiling using m<sup>6</sup>A-ARTR-DBiT.

Nature methods·2026

Same author

Prostaglandin I2 receptor activation promotes alveolar regeneration via the JUN/p53 pathway.

American journal of respiratory and critical care medicine·2026

Same author

Pollution Flashover Characteristics of Hydrophilic/Hydrophobic Alternating Surfaces for Insulator Hybridization.

Polymers·2026

Same journal

Development of a fast-crosslinking hydrogel system doped with magnetic mesoporous nanoparticles for sustained fluoride ion release and caries prevention.

Frontiers in bioengineering and biotechnology·2026

Same journal

Editorial: Advancements in research on plant-derived extracellular vesicles and nanoparticles- applications in biotechnology and one health.

Frontiers in bioengineering and biotechnology·2026

Same journal

Operational integrity screening for telemedicine workflows: an explainable motion and audiovisual coherence framework.

Frontiers in bioengineering and biotechnology·2026

Same journal

Advances in biomechanical modeling of lumbar spine diseases and tumors: gaps, opportunities, and AI integration.

Frontiers in bioengineering and biotechnology·2026

Same journal

Engineering <i>Lactococcus cremoris</i> strains co-expressing two cellulase genes for growth on cellulose.

Frontiers in bioengineering and biotechnology·2026

Same journal

Exosome-mediated tendon-derived stem cell therapy strategies: potential and challenges.

Frontiers in bioengineering and biotechnology·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Oct 8, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

Retinal Vessel Segmentation Algorithm Based on Residual Convolution Neural Network.

Shuang Xu^1,2, Zhiqiang Chen^1,2, Weiyi Cao³

¹Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology, Wuhan, China.

Frontiers in Bioengineering and Biotechnology

|December 27, 2021

Summary

This summary is machine-generated.

This study introduces a novel residual convolution neural network for retinal vessel segmentation in fundus images. The algorithm achieves high accuracy and specificity, aiding in disease diagnosis.

Keywords:

attentional mechanism convolution neural network (CNN)deep supervision fundus image residual network retinal vessel segmentation

More Related Videos

Retinal Vascular Reactivity as Assessed by Optical Coherence Tomography Angiography

Retinal Vascular Reactivity as Assessed by Optical Coherence Tomography Angiography

Published on: March 26, 2020

Using Retinal Imaging to Study Dementia

Using Retinal Imaging to Study Dementia

Published on: November 6, 2017

Related Experiment Videos

Last Updated: Oct 8, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

Retinal Vascular Reactivity as Assessed by Optical Coherence Tomography Angiography

Retinal Vascular Reactivity as Assessed by Optical Coherence Tomography Angiography

Published on: March 26, 2020

Using Retinal Imaging to Study Dementia

Using Retinal Imaging to Study Dementia

Published on: November 6, 2017

Area of Science:

Ophthalmology
Medical Imaging
Computer Vision

Background:

Retinal vessels are crucial diagnostic indicators for diseases like hypertension and diabetes.
Accurate segmentation of retinal microvasculature is essential for early disease detection.

Purpose of the Study:

To develop and validate a novel retinal vessel segmentation algorithm using a residual convolution neural network.
To improve the accuracy and completeness of retinal vessel segmentation in fundus images.

Main Methods:

A residual convolution neural network incorporating an improved residual attention module and deep supervision module was designed.
An encoder-decoder network structure was constructed by integrating low-level and high-level feature maps.
Atrous convolution was employed within the pyramid pooling module.

Main Results:

The algorithm demonstrated complete segmentation of retinal vessels, including connected stems and terminals.
On the DRIVE dataset, the algorithm achieved an average accuracy of 95.90% and specificity of 98.85%.
On the STARE dataset, the algorithm achieved an average accuracy of 96.88% and specificity of 97.85%.

Conclusions:

The proposed algorithm is feasible and effective for retinal vessel segmentation in fundus images.
This method shows superior performance compared to existing techniques.
The algorithm has the potential to detect finer capillaries, enhancing diagnostic capabilities.