📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Breast density prediction from low and standard dose mammograms using deep learning: effect of image resolution and model training approach on prediction quality. (2024)

First Author: Squires S

Attributed to: The University of Manchester (UoM) bid for phase 6 of MRC Confidence in Concept (CiC) funding funded by UKRI

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1088/2057-1976/ad470b

PubMed Identifier: 38701765

Publication URI: http://europepmc.org/abstract/MED/38701765

Type: Journal Article/Review

Volume: 10

Parent Publication: Biomedical physics & engineering express

Issue: 4

ISSN: 2057-1976