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 Video

Updated: Jul 8, 2026

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
13:44

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

Mammographic feature enhancement by multiscale analysis.

A F Laine1, S Schuler, J Fan

  • 1Dept. of Comput. & Inf. Sci., Florida Univ., Gainesville, FL.

IEEE Transactions on Medical Imaging
|January 1, 1994
PubMed
Summary

This study introduces a novel mammographic feature analysis using overcomplete multiresolution representations to enhance image contrast. This method improves the visibility of subtle breast pathologies, aiding in earlier cancer detection without additional radiation.

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

Comparison of electric field strength and spatial distribution of electroconvulsive therapy and magnetic seizure therapy in a realistic human head model.

European psychiatry : the journal of the Association of European Psychiatrists·2016
Same author

Search for decays of stopped long-lived particles produced in proton-proton collisions at [Formula: see text].

The European physical journal. C, Particles and fields·2015
Same author

Measurement of the inclusive 3-jet production differential cross section in proton-proton collisions at 7 TeV and determination of the strong coupling constant in the TeV range.

The European physical journal. C, Particles and fields·2015
Same author

miR-367 promotes epithelial-to-mesenchymal transition and invasion of pancreatic ductal adenocarcinoma cells by targeting the Smad7-TGF-β signalling pathway.

British journal of cancer·2015
Same author

Measurement of electroweak production of two jets in association with a Z boson in proton-proton collisions at [Formula: see text].

The European physical journal. C, Particles and fields·2015
Same author

Jet and underlying event properties as a function of charged-particle multiplicity in proton-proton collisions at [Formula: see text].

The European physical journal. C, Particles and fields·2015

Area of Science:

  • Medical Imaging
  • Signal Processing
  • Computer Vision

Background:

  • Mammography is crucial for early breast cancer detection.
  • Enhancing subtle features in mammograms is challenging with traditional methods.
  • Overcomplete multiresolution representations offer a new avenue for image analysis.

Purpose of the Study:

  • To introduce and evaluate a novel approach for mammographic feature analysis using overcomplete multiresolution representations.
  • To enhance the visibility of important mammographic features for improved detection.
  • To compare the proposed method with traditional image enhancement techniques.

Main Methods:

  • Utilized three overcomplete multiscale representations: dyadic wavelet transform, phi-transform, and hexagonal wavelet transform.

More Related Videos

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
15:48

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging

Published on: December 15, 2014

Related Experiment Videos

Last Updated: Jul 8, 2026

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
13:44

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
15:48

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging

Published on: December 15, 2014

  • Employed adaptive nonlinear operators on wavelet coefficients for image reconstruction.
  • Identified multiscale edges and gain parameters adaptively based on scale-space energy.

    • Main Results:

    • Demonstrated quantitative improvement in the visibility of unseen or barely seen mammographic features.
    • Achieved local contrast enhancement superior to traditional methods.
    • Showcased the ability to enhance features without requiring additional radiation exposure.

    Conclusions:

    • Overcomplete multiresolution representations provide an effective adaptive mechanism for local contrast enhancement in mammography.
    • Improved visualization of breast pathology can lead to earlier detection and more efficient mammogram evaluation.
    • This technique holds promise for enhancing diagnostic accuracy and patient outcomes in breast imaging.