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

A support system for content-based medical image retrieval in object oriented databases

C Traina Júnior1, A J Traina, R R dos Santos

  • 1Computer Science Department, Mathematics Institute at Sao Carlos, Sao Paulo University, Brazil.

Journal of Medical Systems
|April 29, 1998
PubMed
Summary

This study introduces an Object Manager for storing medical images, enabling content-based image retrieval. A novel modeling technique accelerates image searches by pre-extracting key data.

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

Validation of the online PREDICT tool in a cohort of early breast cancer in Brazil.

Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas·2022
Same author

Percolation on Lieb lattices.

Physical review. E·2022
Same author

Finite-size scaling behavior in trapped systems.

Physical review. E, Statistical, nonlinear, and soft matter physics·2010
Same author

Three-dimensional visualization of human hemoglobin phenotypes with HPLC.

Genetics and molecular research : GMR·2009
Same author

The scavenger receptor MARCO is involved in Leishmania major infection by CBA/J macrophages.

Parasite immunology·2009
Same author

Role of trehalose dimycolate in recruitment of cells and modulation of production of cytokines and NO in tuberculosis.

Infection and immunity·2001

Area of Science:

  • Medical Informatics
  • Computer Science

Background:

  • Traditional medical image retrieval relies on icons and textual attributes.
  • Developing efficient systems for medical image data management is crucial.

Purpose of the Study:

  • To develop a support system for medical application developers to manage medical images.
  • To enable image retrieval based on graphical content, moving beyond textual queries.

Main Methods:

  • Introduced a novel modeling technique to define an "image data type."
  • Implemented an Object Manager for storing medical images as an associated data type.
  • Developed a system for pre-extracting key image data during storage to accelerate queries.
  • Utilized an Image Meta-schema for storing syntactic representations of image processing algorithms.

Related Experiment Videos

Main Results:

  • Demonstrated a system that supports content-based medical image retrieval.
  • Achieved accelerated image search through pre-extraction of image data.
  • Enabled the creation of expansible systems with easily addable image processing algorithms.

Conclusions:

  • The proposed Object Manager and novel modeling technique enhance medical image data management.
  • The system facilitates efficient, content-based retrieval of medical images.
  • The approach supports extensible systems and integration of new image processing capabilities.