📣 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 machine learning framework for automated diagnosis and computer-assisted planning in plastic and reconstructive surgery (2019)

First Author: Knoops P

Attributed to: A hub for device personalisation in the treatment of congenital diseases funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1038/s41598-019-49506-1

PubMed Identifier: 31537815

Publication URI: http://europepmc.org/abstract/MED/31537815

Type: Journal Article/Review

Parent Publication: Scientific Reports

Issue: 1

ISSN: 2045-2322