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

Illustration of transfer learning from breast cancer detection to risk prediction: adaptation to local data and local objectives.

Journal of medical imaging (Bellingham, Wash.)·2026
Same author

flEXPOSE: a flexible exposure parameter optimisation engine for x-ray projection imaging.

Physics in medicine and biology·2026
Same author

In-depth look at the use of pixel variance and the noise power spectrum in digital mammography quality control.

Journal of medical imaging (Bellingham, Wash.)·2025
Same author

Using Explainable AI to Characterize Features in the Mirai Mammographic Breast Cancer Risk Prediction Model.

Radiology. Artificial intelligence·2025
Same author

Impact of synthetic data on training a deep learning model for lesion detection and classification in contrast-enhanced mammography.

Journal of medical imaging (Bellingham, Wash.)·2025
Same author

Sensitivity of a deep-learning-based breast cancer risk prediction model.

Physics in medicine and biology·2025

Related Experiment Video

Updated: Aug 25, 2025

Using Computer-based Image Analysis to Improve Quantification of Lung Metastasis in the 4T1 Breast Cancer Model
08:32

Using Computer-based Image Analysis to Improve Quantification of Lung Metastasis in the 4T1 Breast Cancer Model

Published on: October 2, 2020

6.4K

Performance evaluation of digital breast tomosynthesis systems: physical methods and experimental data.

N W Marshall1,2, H Bosmans1,2

  • 1UZ Gasthuisberg, Department of Radiology, Herestraat 49, 3000 Leuven, Belgium.

Physics in Medicine and Biology
|October 13, 2022
PubMed
Summary

Digital breast tomosynthesis (DBT) offers superior mass detection compared to digital mammography (DM). This review details methods for assessing DBT system performance, crucial for its wider adoption in breast screening programs.

Failed At:

2026-06-19T13:48:55.608051+00:00

Keywords:
digital breast tomosynthesisdoseimage qualitymammographyphantomsquality control

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

22.6K
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

43.0K

Related Experiment Videos

Last Updated: Aug 25, 2025

Using Computer-based Image Analysis to Improve Quantification of Lung Metastasis in the 4T1 Breast Cancer Model
08:32

Using Computer-based Image Analysis to Improve Quantification of Lung Metastasis in the 4T1 Breast Cancer Model

Published on: October 2, 2020

6.4K
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

22.6K
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

43.0K