📣 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.

Unsupervised Tissue Segmentation via Deep Constrained Gaussian Network. (2022)

First Author: Nan Y

Attributed to: Fully Automatic Segmentation and Assessment of Atrial Scars for Atrial Fibrillation Patients Using LGE MRI funded by MRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1109/tmi.2022.3195123

PubMed Identifier: 35905069

Publication URI: http://europepmc.org/abstract/MED/35905069

Type: Journal Article/Review

Volume: 41

Parent Publication: IEEE transactions on medical imaging

Issue: 12

ISSN: 0278-0062