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

Membrane and vesicle structure detection in cryo-electron tomography based on deep learning.

Journal of structural biology·2025
Same author

Fast data-driven learning of parallel MRI sampling patterns for large scale problems.

Scientific reports·2021
Same author

Identification of incorrectly oriented particles in cryo-EM single particle analysis.

Journal of structural biology·2021
Same author

Monotone FISTA with Variable Acceleration for Compressed Sensing Magnetic Resonance Imaging.

IEEE transactions on computational imaging·2019
Same author

Component tree analysis of cystovirus φ6 nucleocapsid Cryo-EM single particle reconstructions.

PloS one·2018
Same author

XTEND: Extending the depth of field in cryo soft X-ray tomography.

Scientific reports·2017
Same journal

Quantitative Susceptibility Mapping MRI with Computer Vision Metrics to Reduce Scan Time for Brain Hemorrhage Assessment.

International journal of imaging systems and technology·2025
Same journal

Radiomic feature reliability of amide proton transfer-weighted MR images acquired with compressed sensing at 3T.

International journal of imaging systems and technology·2024
Same journal

Non-invasive prediction of overall survival time for glioblastoma multiforme patients based on multimodal MRI radiomics.

International journal of imaging systems and technology·2024
Same journal

NOSER: An Algorithm for Solving the Inverse Conductivity Problem.

International journal of imaging systems and technology·2023
Same journal

COVID-19 lung infection segmentation from chest CT images based on CAPA-ResUNet.

International journal of imaging systems and technology·2023
Same journal

Application of a novel T1 retrospective quantification using internal references (T1-REQUIRE) algorithm to derive quantitative T1 relaxation maps of the brain.

International journal of imaging systems and technology·2023
See all related articles

Related Experiment Video

Updated: Jun 23, 2026

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

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

Parallel Fuzzy Segmentation of Multiple Objects.

Edgar Garduño1, Gabor T Herman

  • 1Depto. Ciencias de la Computación, Instituto de Investigaciones en Matermáticas Aplicadas y en Sistemas, Universidad Nacional Autónoma de México, Circuito Escolar S/N, Cd. Universitaria, C.P. 04510, Mexico City, México.

International Journal of Imaging Systems and Technology
|May 16, 2009
PubMed
Summary
This summary is machine-generated.

This study adapted sequential fuzzy segmentation algorithms for multi-processor systems. The new distributed approach significantly speeds up processing for large datasets, making it more efficient.

More Related Videos

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

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data
12:08

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

Published on: August 13, 2014

Related Experiment Videos

Last Updated: Jun 23, 2026

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

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

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

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data
12:08

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

Published on: August 13, 2014

Area of Science:

  • Computer Vision
  • Image Processing
  • Computational Science

Background:

  • Fuzzy segmentation algorithms based on fuzzy connectedness are widely used.
  • Increasing dataset sizes from new technologies make sequential implementations time-consuming.

Purpose of the Study:

  • To adapt a sequential fuzzy segmentation algorithm for parallel processing.
  • To evaluate the performance of a distributed fuzzy segmentation algorithm on large datasets.

Main Methods:

  • Parallelization of a sequential fuzzy segmentation algorithm.
  • Implementation on multi-processor machines.
  • Testing with large datasets (approx. 50 million points).

Main Results:

  • Successful adaptation of the fuzzy segmentation algorithm to a multi-processor architecture.
  • Demonstrated efficacy of the distributed algorithm.
  • Achieved a speed-up factor of approximately five compared to the sequential implementation.

Conclusions:

  • Distributed fuzzy segmentation algorithms offer significant performance improvements for large datasets.
  • Parallel processing is crucial for handling the demands of modern large-scale data analysis.
  • The developed algorithm provides a viable solution for efficient fuzzy segmentation.