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

Bioelectrochemical mitigation of soil antibiotic resistance: Disruption of bacteriophage transmission and resistant hosts.

Journal of environmental sciences (China)·2026

Same author

When tradition meets technology: perceived value integration and consumer purchase behavior in the smart agriculture era.

Frontiers in nutrition·2026

Same author

Integrating multiple outcomes of first-line immunotherapy-based regimens for advanced hepatocellular carcinoma: A network meta-analysis of phase III trials.

Critical reviews in oncology/hematology·2026

Same author

ANIMATE: Unsupervised Attributed Graph Anomaly Detection with Masked Graph Transformers.

Sensors (Basel, Switzerland)·2026

Same author

Cultivated land transformation and new-type urbanization couple from Imbalance to coordination in China's Fenhe River Basin.

Scientific reports·2026

Same author

NeoTCRseek: an integrated platform for high-sensitivity identification of neoantigen-specific TCR clonotypes to track clinical T-cell dynamics.

Frontiers in immunology·2026

Same journal

circ2DGNN: circRNA-Disease Association Prediction via Transformer-Based Graph Neural Network.

IEEE/ACM transactions on computational biology and bioinformatics·2024

Same journal

Hierarchical Hypergraph Learning in Association- Weighted Heterogeneous Network for miRNA- Disease Association Identification.

IEEE/ACM transactions on computational biology and bioinformatics·2024

Same journal

Discriminative Domain Adaption Network for Simultaneously Removing Batch Effects and Annotating Cell Types in Single-Cell RNA-Seq.

IEEE/ACM transactions on computational biology and bioinformatics·2024

Same journal

MLW-BFECF: A Multi-Weighted Dynamic Cascade Forest Based on Bilinear Feature Extraction for Predicting the Stage of Kidney Renal Clear Cell Carcinoma on Multi-Modal Gene Data.

IEEE/ACM transactions on computational biology and bioinformatics·2024

Same journal

An End-to-End Knowledge Graph Fused Graph Neural Network for Accurate Protein-Protein Interactions Prediction.

IEEE/ACM transactions on computational biology and bioinformatics·2024

Same journal

Generative Biomedical Event Extraction With Constrained Decoding Strategy.

IEEE/ACM transactions on computational biology and bioinformatics·2024

See all related articles

Search research articles

Related Experiment Video

Updated: Dec 26, 2025

A Label-Free Segmentation Approach for Intravital Imaging of Mammary Tumor Microenvironment

A Label-Free Segmentation Approach for Intravital Imaging of Mammary Tumor Microenvironment

Published on: May 24, 2022

Multi-Label Classification Scheme Based on Local Regression for Retinal Vessel Segmentation.

Beiji Zou, Yulan Dai, Qi He

IEEE/ACM Transactions on Computational Biology and Bioinformatics

|March 17, 2020

Summary

This summary is machine-generated.

This study introduces a new method for segmenting small retinal vessels in fundus images. The approach enhances narrow vessels, improving overall retinal vessel segmentation accuracy.

More Related Videos

Measuring Retinal Vessel Diameter from Mouse Fluorescent Angiography Images

Measuring Retinal Vessel Diameter from Mouse Fluorescent Angiography Images

Published on: May 19, 2023

Quantification of Vascular Parameters in Whole Mount Retinas of Mice with Non-Proliferative and Proliferative Retinopathies

Quantification of Vascular Parameters in Whole Mount Retinas of Mice with Non-Proliferative and Proliferative Retinopathies

Published on: March 12, 2022

Related Experiment Videos

Last Updated: Dec 26, 2025

A Label-Free Segmentation Approach for Intravital Imaging of Mammary Tumor Microenvironment

A Label-Free Segmentation Approach for Intravital Imaging of Mammary Tumor Microenvironment

Published on: May 24, 2022

Measuring Retinal Vessel Diameter from Mouse Fluorescent Angiography Images

Measuring Retinal Vessel Diameter from Mouse Fluorescent Angiography Images

Published on: May 19, 2023

Quantification of Vascular Parameters in Whole Mount Retinas of Mice with Non-Proliferative and Proliferative Retinopathies

Quantification of Vascular Parameters in Whole Mount Retinas of Mice with Non-Proliferative and Proliferative Retinopathies

Published on: March 12, 2022

Area of Science:

Ophthalmology
Medical Imaging
Computer Vision

Background:

Segmenting small retinal vessels (< 2 pixels wide) in fundus images is difficult.
Accurate segmentation is crucial for diagnosing various eye conditions.

Purpose of the Study:

To develop an effective method for segmenting narrow retinal vessels.
To improve the accuracy of retinal vessel segmentation in fundus images.

Main Methods:

A local regression scheme was proposed to enhance narrow vessel parts.
A novel multi-label classification method using five labels (vessel/background centers/edges) was developed.
A convolutional neural network (CNN) was trained for multi-label classification, followed by local regression for binary labeling.

Main Results:

The proposed method demonstrated effectiveness in segmenting retinal vessels, particularly narrow ones.
Experimental results on two public datasets showed superior performance compared to state-of-the-art methods.

Conclusions:

The local regression scheme and multi-label classification effectively enhance and segment small retinal vessels.
The method provides a significant improvement for retinal vessel segmentation tasks.