Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

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

Regulatory mechanisms of age-related degenerative diseases: Insights from the gut microbiota-cellular senescence interaction network.

Ageing research reviews·2026
Same author

Performance evaluation and practice advice for multiplex PCR-based pathogen-targeted next-generation sequencing (ptNGS).

Chinese medical journal·2026
Same author

Vertical-flow tearable paper-tape rolls for scalable multiplexed point-of-care nucleic acid testing.

Microsystems & nanoengineering·2026
Same author

A novel prognostic model based on vasculogenic mimicry in ovarian cancer.

Translational cancer research·2026
Same author

Targeted next-generation sequencing for copy number variation detection: Recent progress in clinical oncology.

Chinese medical journal·2026
Same author

Utility-Based Dose Optimization Approaches for Multiple-Dose Randomized Trial Designs Accounting for Multiple Endpoints.

Pharmaceutical statistics·2025

Related Experiment Video

Updated: Sep 28, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

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

Published on: November 30, 2022

3.0K

A Novel Elastomeric UNet for Medical Image Segmentation.

Sijing Cai1,2, Yi Wu1,3, Guannan Chen1,3

  • 1Key Laboratory of Optoelectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China.

Frontiers in Aging Neuroscience
|April 1, 2022
PubMed
Summary

This study introduces the Elastomeric UNet (EUNet), a novel deep learning model for medical image segmentation. EUNet enhances segmentation performance by mimicking wave propagation for improved feature extraction and outperforms existing UNet variants.

Keywords:
Parkinson’s diseaseUNetconvolutional neural network (CNN)elastomeric UNetmedical image segmentation

More Related Videos

Assessing Collagen and Elastin Pressure-dependent Microarchitectures in Live, Human Resistance Arteries by Label-free Fluorescence Microscopy
09:58

Assessing Collagen and Elastin Pressure-dependent Microarchitectures in Live, Human Resistance Arteries by Label-free Fluorescence Microscopy

Published on: April 9, 2018

10.6K
Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
04:48

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

538

Related Experiment Videos

Last Updated: Sep 28, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

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

Published on: November 30, 2022

3.0K
Assessing Collagen and Elastin Pressure-dependent Microarchitectures in Live, Human Resistance Arteries by Label-free Fluorescence Microscopy
09:58

Assessing Collagen and Elastin Pressure-dependent Microarchitectures in Live, Human Resistance Arteries by Label-free Fluorescence Microscopy

Published on: April 9, 2018

10.6K
Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
04:48

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

538

Area of Science:

  • Medical Imaging
  • Deep Learning
  • Computer Vision

Background:

  • Current medical image segmentation models often rely on U-shaped structures, posing limitations for deep convolutional neural network (CNN) design.
  • Effective segmentation is crucial for numerous clinical medical applications.

Purpose of the Study:

  • To develop an advanced medical image segmentation model that overcomes the limitations of existing U-shaped architectures.
  • To introduce the Elastomeric UNet (EUNet) by mimicking elastomeric wave propagation for enhanced feature extraction.

Main Methods:

  • Proposed the Elastomeric UNet (EUNet) structure, extending traditional U-Net horizontally and spatially.
  • Developed two EUNet variants: horizontal EUNet and spatial EUNet, based on wave propagation direction.
  • Evaluated EUNet on multi-photon microscopy (MPM) and retinal (DRIVE) datasets.

Main Results:

  • EUNet demonstrated superior performance compared to standard UNet and its variants in segmentation tasks.
  • The flexible, series-parallel structure of EUNet facilitates effective feature accumulation and recursion.
  • Independent branches within EUNet allow for flexible design and redundancy, improving performance.

Conclusions:

  • The proposed EUNet architecture offers significant improvements in medical image segmentation.
  • EUNet's innovative design provides a flexible and effective approach for researchers to achieve better segmentation outcomes.
  • This model represents a promising advancement for clinical medical image analysis.