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

A National Audit of Mammography Systems Settings That May Affect the Output of Artificial Intelligence Software.

Diagnostics (Basel, Switzerland)·2026
Same author

Anti-scatter grid performance in digital mammography and contrast-enhanced mammography: a Monte Carlo study.

Physics in medicine and biology·2025
Same author

Assessing the Impact of Visualizations of Quantitative and Qualitative Risk Information on the Comprehension of Hypothetical Risk-Based Breast Cancer Screening Results.

Health communication·2025
Same author

AI Should Read Mammograms Only When Confident: A Hybrid Breast Cancer Screening Reading Strategy.

Radiology·2025
Same author

Influence of AI Decision Support on Radiologists' Performance and Visual Search in Screening Mammography.

Radiology·2025
Same author

An Exploration of Discrepant Recalls Between AI and Human Readers of Malignant Lesions in Digital Mammography Screening.

Diagnostics (Basel, Switzerland)·2025

Related Experiment Video

Updated: Nov 4, 2025

Multimodal 3D Printing of Phantoms to Simulate Biological Tissue
05:11

Multimodal 3D Printing of Phantoms to Simulate Biological Tissue

Published on: January 11, 2020

7.8K

Validation of a mammographic image quality modification algorithm using 3D-printed breast phantoms.

Joana Boita1,2, Alistair Mackenzie3, Ruben E van Engen2

  • 1Radboud University Medical Center, Department of Medical Imaging, Nijmegen, The Netherlands.

Journal of Medical Imaging (Bellingham, Wash.)
|May 24, 2021
PubMed
Summary

A new algorithm accurately simulates different mammogram technique factors using phantom images. This validated method can assess how imaging factors impact cancer detection in clinical mammography.

Failed At:

2026-06-19T13:48:23.883836+00:00

Keywords:
digital mammographyimage qualityimage simulationvirtual clinical trials

More Related Videos

Development and Evaluation of 3D-Printed Cardiovascular Phantoms for Interventional Planning and Training
09:57

Development and Evaluation of 3D-Printed Cardiovascular Phantoms for Interventional Planning and Training

Published on: January 18, 2021

4.3K
Construction of a Preclinical Multimodality Phantom Using Tissue-mimicking Materials for Quality Assurance in Tumor Size Measurement
06:33

Construction of a Preclinical Multimodality Phantom Using Tissue-mimicking Materials for Quality Assurance in Tumor Size Measurement

Published on: July 29, 2013

11.5K

Related Experiment Videos

Last Updated: Nov 4, 2025

Multimodal 3D Printing of Phantoms to Simulate Biological Tissue
05:11

Multimodal 3D Printing of Phantoms to Simulate Biological Tissue

Published on: January 11, 2020

7.8K
Development and Evaluation of 3D-Printed Cardiovascular Phantoms for Interventional Planning and Training
09:57

Development and Evaluation of 3D-Printed Cardiovascular Phantoms for Interventional Planning and Training

Published on: January 18, 2021

4.3K
Construction of a Preclinical Multimodality Phantom Using Tissue-mimicking Materials for Quality Assurance in Tumor Size Measurement
06:33

Construction of a Preclinical Multimodality Phantom Using Tissue-mimicking Materials for Quality Assurance in Tumor Size Measurement

Published on: July 29, 2013

11.5K