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 Experiment Videos

Data representation for subsequent image interpretation.

M G Cawley1, K Natarajan, J A Newell

  • 1School of Computer Science, University of Birmingham, UK.

Medical Informatics = Medecine Et Informatique
|April 1, 1991
PubMed
Summary
This summary is machine-generated.

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

Patient-Reported Social and Financial Needs: Integration in a Learning Health System.

Studies in health technology and informatics·2026
Same author

Biocompatibility and Toxicity Evaluation of an Elastin-Based Nanogel Carrier for Enzalutamide: Comprehensive Characterization, Controlled Release and Assessment in Zebrafish Embryos.

Journal of applied toxicology : JAT·2026
Same author

Metal-free synthesis of α-keto-<i>N</i>-acyl sulfoximines from sulfoximines and α-bromomethyl aryl ketones under photoredox catalysis.

Organic & biomolecular chemistry·2026
Same author

An adaptive ensemble feature selection technique for model-agnostic diabetes prediction.

Scientific reports·2025
Same author

InCl<sub>3</sub> catalyzed simultaneous reductive sulfoximination and <i>O</i>-silylation: synthesis of silyloxy benzylsulfoximine.

Organic & biomolecular chemistry·2024
Same author

Facile synthesis of elastin nanogels encapsulated decursin for castrated resistance prostate cancer therapy.

Scientific reports·2024
Same journal

Backpropagation and adaptive resonance theory in predicting suicidal risk.

Medical informatics = Medecine et informatique·1999
Same journal

Enhancing security and improving interoperability in healthcare information systems.

Medical informatics = Medecine et informatique·1999
Same journal

A multi-agent architecture for teaching dermatology.

Medical informatics = Medecine et informatique·1999
Same journal

A network-based training environment: a medical image processing paradigm.

Medical informatics = Medecine et informatique·1999
Same journal

Hippocrates: an integrated platform for telemedicine applications.

Medical informatics = Medecine et informatique·1999
Same journal

MEDNET97. Proceedings of a conference on the internet in medicine. November 1997.

Medical informatics = Medecine et informatique·1998
See all related articles

This study introduces a novel region-based segmentation technique for analyzing radiological scans like CT and NMR imaging. It offers a quantitative measure for evaluating segmentation accuracy, improving image interpretation.

Area of Science:

  • Medical Imaging
  • Computer Vision
  • Image Processing

Background:

  • Radiological scans (X-ray CT, NMR) offer rich data on tissue behavior.
  • Interpreting these scans requires converting pixel data into symbolic representations.
  • Current methods for this conversion can be complex and lack quantitative evaluation.

Purpose of the Study:

  • To develop an effective region-based segmentation technique for radiological image analysis.
  • To introduce a quantitative measure for evaluating the performance of segmentation algorithms.
  • To create an adaptive segmentation mechanism adaptable to new imaging operators.

Main Methods:

  • Region-based segmentation is employed, grouping pixels with common attributes.
  • A one-to-one map serves as an adaptive mechanism for segmentation.

Related Experiment Videos

  • The segmentation criterion is dynamically determined by a corresponding map value.

    • Main Results:

    • A quantitative measure for partial evaluation of segmentation was developed.
    • The method allows for segmentation independent of specific attributes.
    • Initial studies on CT scans informed the development of the segmentation precept.

    Conclusions:

    • The proposed region-based segmentation offers a robust approach to radiological image interpretation.
    • The quantitative evaluation measure aids in assessing segmentation quality.
    • The adaptive mechanism enhances the flexibility and applicability of the segmentation technique.