Deep-learning tool triages women with decreased breast density

By Amerigo Allegretto, staff writer

November 24, 2021 --

Wednesday, December 1 | 3:00 p.m.-4:00 p.m. | SSBR09-4 | Room S406B
In this Wednesday talk, researchers will present findings from their study of nearly 2,700 women that used a convolutional neural network in predicting mammographic density percentage from MRI scans.

Bas van der Velden, PhD, from University Medical Center Utrecht will talk about how the deep-learning tool (VolparaDensity version 1.5, Volpara Health) showed high specificity in correctly triaging more than half the number of women with decreased breast density, switching them from receiving MRI-only screening to receive mammographic screening.

The team included 4,300 MRI exams and trained their network through two screening rounds.

"AI-based triaging of women with extremely dense breasts from MRI-only screening back to mammography screening is feasible, enabling radiologists to reduce workload and reallocate resources," the study authors wrote.

Find out more about the network's performance in this session.

Copyright © 2021

To read this and get access to all of the exclusive content on create a free account or sign-in now.

Member Sign In:
MemberID or Email Address:  
Do you have a password?
No, I want a free membership.
Yes, I have a password:  
Forgot your password?
Sign in using your social networking account:
Sign in using your social networking