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

Failure modes and effects analysis of LINAC-based stereotactic arrhythmia radioablation categorized by segmental targets.

Radiation oncology (London, England)·2026

Same author

MRIgRT real-time target tracking: TrackRAD2025 challenge report.

Medical image analysis·2026

Same author

Causal Effects of Female Reproductive and Hormonal Factors on Osteoporosis, Bone Mineral Density, and Osteoarthritis: A Two-Sample Mendelian Randomization Study.

International journal of women's health·2026

Same author

Plant Virus and Vector Insect Regulate the Dual Phosphorylation of ATG1-ATG13 To Maintain a Moderate Autophagy for Viral Persistent Propagation.

Journal of agricultural and food chemistry·2026

Same author

Enhancing Exploration and Exploitation in Tumor Treatment Through Action-Guided Deep Reinforcement Learning.

International journal of neural systems·2026

Same author

Structural Characteristics and Direct Liquefaction Performance of Macerals in Yili Coal from Xinjiang.

Molecules (Basel, Switzerland)·2026

Same journal

AdaWGAN: Data Augmentation for Few-Shot HD-sEMG Gesture Recognition Using Single-Trial Data.

IEEE journal of biomedical and health informatics·2026

Same journal

NeuroBooster: a domain-informed self-supervised learning paradigm tailored for brain MRI analysis.

IEEE journal of biomedical and health informatics·2026

Same journal

Graph Convolutional Neural Network based Depression Detection using Brain Functional Connectivity Measures.

IEEE journal of biomedical and health informatics·2026

Same journal

Improving Multi-Sensor Non-Invasive Glucose Detection through AI: A Domain Generalization Approach.

IEEE journal of biomedical and health informatics·2026

Same journal

Unmixing the Neck: Accurate Jugular Venous Pulse Detection From Wearable PPG.

IEEE journal of biomedical and health informatics·2026

Same journal

AD-DAE: Alzheimer's Disease Progression Modeling with Unpaired Longitudinal MRI using Diffusion Auto-Encoders.

IEEE journal of biomedical and health informatics·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jan 15, 2026

Author Spotlight: Segmentation and VR for Advanced Neurovascular Interventions

Author Spotlight: Segmentation and VR for Advanced Neurovascular Interventions

Published on: April 5, 2024

Rethinking Propagation Methods for Interactive Medical Image Segmentation.

Shengqian Zhu, Yuncheng Shen, Yingyong Yin

IEEE Journal of Biomedical and Health Informatics

|October 8, 2025

Summary

This summary is machine-generated.

The Discrepancy Aware Network (DANet) improves medical image segmentation by addressing over-propagation and refining segmentation results. This novel approach enhances accuracy in segmenting organs and tumors.

More Related Videos

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

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

Related Experiment Videos

Last Updated: Jan 15, 2026

Author Spotlight: Segmentation and VR for Advanced Neurovascular Interventions

Author Spotlight: Segmentation and VR for Advanced Neurovascular Interventions

Published on: April 5, 2024

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

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

Area of Science:

Medical Imaging
Computer Vision
Artificial Intelligence

Background:

Propagation-based methods are increasingly used for interactive medical image segmentation.
Existing methods struggle with over-propagation and suboptimal refinement strategies.

Purpose of the Study:

To introduce a novel Discrepancy Aware Network (DANet) to overcome challenges in propagation-based medical image segmentation.
To improve segmentation accuracy and refinement efficiency.

Main Methods:

Developed a Discrepancy Learning Module (DLM) to capture temporal-contextual slice discrepancies.
Implemented a confidence loss to regularize over-confident segmentations.
Designed an optimized slice selection strategy for refinement.

Main Results:

DANet demonstrated significant improvements over state-of-the-art methods on five public medical datasets.
Achieved a +1.07% improvement on the MSD-Spleen dataset.
Effectively addressed over-propagation and enhanced segmentation refinement.

Conclusions:

DANet offers a robust solution for accurate interactive medical image segmentation.
The proposed DLM and confidence loss effectively handle segmentation challenges.
The optimized refinement strategy further boosts performance.