📣 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.

A methodological framework for AI-assisted diagnosis of active aortitis using radiomic analysis of FDG PET-CT images: Initial analysis. (2022)

First Author: Duff L

Attributed to: MICA: Treatment According to Response in Giant cEll arTeritis (TARGET) funded by MRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1007/s12350-022-02927-4

PubMed Identifier: 35322380

Publication URI: http://europepmc.org/abstract/MED/35322380

Type: Journal Article/Review

Volume: 29

Parent Publication: Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology

Issue: 6

ISSN: 1071-3581