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

Bacterial Transformation01:33

Bacterial Transformation

59.7K
In 1928, bacteriologist Frederick Griffith worked on a vaccine for pneumonia, which is caused by Streptococcus pneumoniae bacteria. Griffith studied two pneumonia strains in mice: one pathogenic and one non-pathogenic. Only the pathogenic strain killed host mice.
Griffith made an unexpected discovery when he killed the pathogenic strain and mixed its remains with the live, non-pathogenic strain. Not only did the mixture kill host mice, but it also contained living pathogenic bacteria that...
59.7K
Encoding01:19

Encoding

837
Information enters the brain through encoding, which is the input of information into the memory system. Once sensory information is received from the environment, the brain labels or codes it. The information is then organized with similar information and connected to existing concepts. Encoding occurs through automatic processing and effortful processing.
Automatic processing involves the encoding of details like time, space, frequency, and the meaning of words, usually done without conscious...
837
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
Polymer Classification: Architecture01:14

Polymer Classification: Architecture

3.8K
Polymers are classified as linear or branched on the basis of their chain architecture. The polymer chains in linear polymers have a long chain-like structure with minimal to no branching at all. Even if a polymer features large substituent groups on the monomer, which appear as branches to the skeleton, it is not considered a branched polymer. A branched polymer contains secondary polymer chains that arise from the main polymer chain. The branching occurs when the polymer growth shifts from...
3.8K
Transformers01:26

Transformers

1.8K
A device that transforms voltages from one value to another using induction is called a transformer. A transformer consists of two separate coils, or windings, wrapped around the same soft iron core. However, they are electrically insulated from each other.
The iron core has a substantial relative permeability. Therefore, the magnetic field lines generated due to the current in one winding are almost entirely confined within the core, such that the same magnetic flux permeates each turn of both...
1.8K
Transformation01:26

Transformation

935
Microbial communities are dynamic environments where cell lysis releases free DNA into the surroundings. Other cells can take up this extracellular DNA through a process known as transformation.When a cell incorporates this foreign DNA into its genome, resulting in genetic modification, the process is known as transformation. Cells capable of this process are termed competent. Competence can be natural, as observed in certain bacteria and archaea, or artificially induced in the...
935

You might also read

Related Articles

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

Sort by
Same author

SGM-DETR: Semantic-Guided and Feature-Refined Transformer for Pine Wilt Disease Detection in Satellite Imagery.

Plants (Basel, Switzerland)·2026
Same author

Changes in health-related social needs and in depression and anxiety symptoms in Massachusetts low-income, community health center patients: an observational cohort study.

Preventive medicine reports·2026
Same author

A dual-channel electron expressway triggers piezocatalytic ferroptosis-mitochondrial catastrophe cascade for anti-glioblastoma therapy.

Biomaterials·2026
Same author

Optimizing Food-Is-Medicine Programs for High Blood Pressure.

JAMA internal medicine·2026
Same author

GPR40 Attenuates Glioma TMZ-Resistance Through Ferroptosis Inhibition.

Neurochemical research·2026
Same author

The dual role of TRPC channel-mediated dysregulation of calcium signaling in regulating mitophagy in early brain injury after subarachnoid hemorrhage.

Reviews in the neurosciences·2026

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

A New Encoding Architecture Based on Shift Multilayer Perceptron and Transformer for Medical Image Segmentation.

Hepeng Zhong1, Jieqiong Yang2, Yingfei Wu1

  • 1College of Advanced Interdisciplinary Studies, Central South University of Forestry and Technology, Changsha 410004, China.

Sensors (Basel, Switzerland)
|January 28, 2026
PubMed
Summary

This study introduces a new Multilayer Perceptron-Transformer (MPT) for medical image segmentation, improving accuracy in delineating cardiac and multi-organ structures. The MPT model enhances diagnostic reliability by capturing detailed anatomical features.

Keywords:
encoding architecturemedical imageshift multilayer perceptrontransformer

More Related Videos

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
14:08

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

43.5K
Wideband Optical Detector of Ultrasound for Medical Imaging Applications
08:21

Wideband Optical Detector of Ultrasound for Medical Imaging Applications

Published on: May 11, 2014

11.7K

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
Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
14:08

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

43.5K
Wideband Optical Detector of Ultrasound for Medical Imaging Applications
08:21

Wideband Optical Detector of Ultrasound for Medical Imaging Applications

Published on: May 11, 2014

11.7K

Area of Science:

  • Medical Imaging
  • Artificial Intelligence
  • Computer Vision

Background:

  • Accurate medical image segmentation is vital for clinical diagnosis.
  • Existing methods struggle with low-level details and feature consistency, impacting reliability.

Purpose of the Study:

  • To propose a novel Multilayer Perceptron-Transformer (MPT) encoding architecture.
  • To improve the accuracy and reliability of medical image segmentation.

Main Methods:

  • Integrated Shift Multilayer Perceptron and Transformer mechanisms.
  • Utilized a SENet-based Atrous Spatial Pyramid Pooling module for multi-scale features.
  • Employed a channel-feature aggregation attention module for enhanced information flow.

Main Results:

  • Achieved an average Dice Similarity Coefficient (DSC) of 87.01% on the cardiac dataset.
  • Obtained an average DSC of 79.35% and 95% Haus Dorff Distance of 20.07 mm on the multi-organ dataset.
  • Demonstrated effective capture of local and global anatomical structures.

Conclusions:

  • The proposed MPT architecture significantly enhances medical image segmentation.
  • MPT provides reliable support for clinical diagnosis by improving accuracy and detail capture.