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

Integrated analysis and experimental validation reveal the prognostic and immunological features associated with coagulation in hepatocellular carcinoma.

Scientific reports·2025

Same author

Evaluating machine learning model bias and racial disparities in non-small cell lung cancer using SEER registry data.

Health care management science·2024

Same author

The population percentile allowance method for determining systematic spatial error tolerances for temporary intensity modulated brachytherapy.

Medical physics·2023

Same author

Deep learning network with differentiable dynamic programming for retina OCT surface segmentation.

Biomedical optics express·2023

Same author

Use of compressed sensing to expedite high-throughput diagnostic testing for COVID-19 and beyond.

PLoS computational biology·2022

Same author

Comprehensive Analysis of the Correlation Between Pyroptosis-Related LncRNAs and Tumor Microenvironment, Prognosis, and Immune Infiltration in Hepatocellular Carcinoma.

Frontiers in genetics·2022

Same journal

Generalizable framework for multi-site bone density prediction using non-dominant wrist optical biomarkers.

Biomedical optics express·2026

Same journal

Erratum: Review of dynamic optical coherence tomography for intracellular motility [Invited]: errata.

Biomedical optics express·2026

Same journal

Digital-micromirror-device-based illumination strategies for background suppression in single-molecule localization microscopy.

Biomedical optics express·2026

Same journal

Synergistic combination of convective self-assembly and hollow core fiber for sensitive SERS detection of glucose molecules.

Biomedical optics express·2026

Same journal

Multimodal diagnostic network integrating infrared and mass spectra for lung cancer.

Biomedical optics express·2026

Same journal

Multimodal Optical Biosensing for Precision Medicine and Healthcare: Introduction to the feature issue.

Biomedical optics express·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Mar 3, 2026

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

gcDLSeg: integrating graph-cut into deep learning for binary semantic segmentation.

Hui Xie¹, Weiyu Xu¹, Ya Xing Wang²

¹Department of Electrical and Computer Engineering, The University of Iowa, Iowa City, IA 52242, USA.

Biomedical Optics Express

|March 2, 2026

Summary

This summary is machine-generated.

This study integrates graph-cut segmentation with deep learning (DL) for improved computer vision. The novel approach enables end-to-end learning, achieving optimal segmentation accuracy and robustness.

More Related Videos

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

Deep Learning-Based Segmentation of Cryo-Electron Tomograms

Deep Learning-Based Segmentation of Cryo-Electron Tomograms

Published on: November 11, 2022

Related Experiment Videos

Last Updated: Mar 3, 2026

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

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

Deep Learning-Based Segmentation of Cryo-Electron Tomograms

Deep Learning-Based Segmentation of Cryo-Electron Tomograms

Published on: November 11, 2022

Area of Science:

Computer Vision
Medical Image Analysis
Machine Learning

Background:

Binary semantic segmentation is crucial in computer vision.
Graph-cut methods offer global optimality but lack deep integration.
Deep learning (DL) methods have revolutionized segmentation performance.

Purpose of the Study:

To integrate graph-cut segmentation within a deep learning network for end-to-end learning.
To address the challenge of backpropagation through the combinatorial graph-cut algorithm.
To leverage the strengths of both graph-cut and DL for enhanced segmentation.

Main Methods:

Developed a novel residual graph-cut loss function.
Introduced a quasi-residual connection for enabling gradient backpropagation.
Integrated graph-cut energy minimization with DL-optimized image features.

Main Results:

Achieved promising segmentation accuracy on chronic wound and pancreas cancer datasets.
Demonstrated improved robustness against adversarial attacks.
Enabled effective feature learning guided by the graph-cut segmentation model.

Conclusions:

The proposed integrated approach successfully combines graph-cut and DL for binary semantic segmentation.
The novel loss and connection facilitate end-to-end training and globally optimal inference.
This method offers a robust and accurate solution for medical image segmentation tasks.