Jove
Visualize
Contact Us

Related Concept Videos

Protein Networks02:26

Protein Networks

4.5K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.5K
Protein Networks02:26

Protein Networks

2.8K
2.8K
Network Covalent Solids02:18

Network Covalent Solids

16.1K
Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
16.1K
¹H NMR: Complex Splitting01:13

¹H NMR: Complex Splitting

1.9K
A proton M that is coupled to a proton X results in doublet signals for M. However, NMR-active nuclei can be simultaneously coupled to more than one nonequivalent nucleus. When M is coupled to a second proton A, such as in styrene oxide, each peak in the doublet is split into another doublet.
Splitting diagrams or splitting tree diagrams are routinely used to depict such complex couplings. While drawing splitting diagrams, the splitting with the larger coupling constant is usually applied...
1.9K
Inhaled Medications01:23

Inhaled Medications

786
Inhaled medications are crucial for managing chronic obstructive pulmonary disease (COPD) and asthma. They are essential for effective treatment and control, ensuring optimal respiratory health and well-being. Inhaled medication delivers drugs directly to the lungs, providing a rapid onset of action and reducing systemic side effects compared to oral or injectable medications. Three primary types of inhalation devices are used to administer these medications: nebulizers, metered-dose inhalers...
786
Levels of Communication II: Organizational, Public, and Group Dynamics01:27

Levels of Communication II: Organizational, Public, and Group Dynamics

3.0K
Effective communication is the foundation of a good organization. Communication is the lifeblood of an organization that connects the group with messages. In an organization, communication occurs in upward, downward, and horizontal lines. Downward communication travels from the administrative and senior levels to the staff through official channels such as manuals, rules and regulations, and organizational charts. Staff members initiate upward communication, which is addressed to executives and...
3.0K

You might also read

Related Articles

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

Sort by
Same author

Direct and Indirect Measures of Attention Indicating a Bias Toward Cues in Methamphetamine Users.

Basic and clinical neuroscienceยท2022
See all related articles
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 Experiment Video

Updated: Jan 29, 2026

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

3.4K

MedSegNet10: A Publicly Accessible Network Repository for Split Federated Medical Image Segmentation.

Chamani Shiranthika1, Zahra Hafezi Kafshgari1, Hadi Hadizadeh1

  • 1School of Engineering Science, Simon Fraser University, Burnaby, BC V5A 1S6, Canada.

Bioengineering (Basel, Switzerland)
|January 28, 2026
PubMed
Summary
This summary is machine-generated.

MedSegNet10 offers a new repository for medical image segmentation using split-federated learning (SplitFed/SFL). This approach enhances privacy and reduces computational load for collaborative AI model training in healthcare.

Keywords:
distributed learningdiverse network architecturesmedical image segmentationopen source repositorysplit federated learning

More Related Videos

Exploring the Effects of Spaceflight on Mouse Physiology using the Open Access NASA GeneLab Platform
11:08

Exploring the Effects of Spaceflight on Mouse Physiology using the Open Access NASA GeneLab Platform

Published on: January 13, 2019

12.8K
Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
07:49

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

8.5K

Related Experiment Videos

Last Updated: Jan 29, 2026

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

3.4K
Exploring the Effects of Spaceflight on Mouse Physiology using the Open Access NASA GeneLab Platform
11:08

Exploring the Effects of Spaceflight on Mouse Physiology using the Open Access NASA GeneLab Platform

Published on: January 13, 2019

12.8K
Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
07:49

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

8.5K

Area of Science:

  • Artificial Intelligence
  • Medical Imaging
  • Computer Science

Background:

  • Machine Learning (ML) and Deep Learning (DL) show promise in medical image segmentation for diagnosis and treatment.
  • Challenges include data privacy, limited annotated data, and inadequate training datasets.
  • Decentralized learning (federated learning, split learning) offers solutions to these challenges.

Purpose of the Study:

  • Introduce MedSegNet10, a public repository for medical image segmentation using split-federated learning (SplitFed/SFL).
  • Provide pre-trained neural network architectures optimized for diverse medical image types.
  • Facilitate collaborative training while preserving patient data privacy.

Main Methods:

  • Developed MedSegNet10 repository with SplitFed versions of ten established segmentation architectures.
  • Optimized models for microscopic, dermatoscopic, and endoscopic medical images.
  • Implemented SplitFed/SFL to enable collaborative training without centralizing raw data.

Main Results:

  • MedSegNet10 provides a collection of optimized, pre-trained models for medical image segmentation.
  • The SplitFed/SFL implementation allows collaborative model training while enhancing data privacy.
  • Reduced computational load at client sites through the split-federated learning approach.

Conclusions:

  • MedSegNet10 repository advances medical image segmentation research and application.
  • Split-federated learning effectively addresses privacy and data limitations in medical AI.
  • The repository supports researchers, practitioners, and data scientists in developing privacy-preserving medical imaging solutions.