📣 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.

An accurate and time-efficient deep learning-based system for automated segmentation and reporting of cardiac magnetic resonance-detected ischemic scar. (2023)

First Author: Papetti DM

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.cmpb.2022.107321

PubMed Identifier: 36586175

Publication URI: http://europepmc.org/abstract/MED/36586175

Type: Journal Article/Review

Volume: 229

Parent Publication: Computer methods and programs in biomedicine

ISSN: 0169-2607