📣 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.

Deep Learning for Classification and Selection of Cine CMR Images to Achieve Fully Automated Quality-Controlled CMR Analysis From Scanner to Report (2021)

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.3389/fcvm.2021.742640

PubMed Identifier: 34722674

Publication URI: http://europepmc.org/abstract/MED/34722674

Type: Journal Article/Review

Parent Publication: Frontiers in Cardiovascular Medicine

ISSN: 2297-055X