📣 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.

Delivering computationally-intensive digital patient applications to the clinic: An exemplar solution to predict femoral bone strength from CT data (2021)

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.cmpb.2021.106200

PubMed Identifier: 34107372

Publication URI: http://europepmc.org/abstract/MED/34107372

Type: Journal Article/Review

Parent Publication: Computer Methods and Programs in Biomedicine

ISSN: 0169-2607