Personalised 3D assessment of trochanteric soft tissues improves HIP fracture classification accuracy

Aldieri, A., Terzini, M., Audenino, A.L. et al. (5 more authors) (2022) Personalised 3D assessment of trochanteric soft tissues improves HIP fracture classification accuracy. Annals of Biomedical Engineering, 50 (3). pp. 303-313. ISSN 0090-6964

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2022 The Authors. Open Access: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Keywords: Osteoporosis; Hip fracture risk prediction; Trochanteric soft tissues; Multiscale model
Dates:
  • Accepted: 19 January 2022
  • Published (online): 1 February 2022
  • Published: March 2022
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield)
Funding Information:
FunderGrant number
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCILEP/S032940/1
EUROPEAN COMMISSION - HORIZON 2020823712
Engineering and Physical Sciences Research CouncilEP/K03877X/1
Depositing User: Symplectic Sheffield
Date Deposited: 18 Feb 2022 10:24
Last Modified: 18 Feb 2022 10:24
Status: Published
Publisher: Springer Science and Business Media LLC
Refereed: Yes
Identification Number: https://doi.org/10.1007/s10439-022-02924-1
Related URLs:

Export

Statistics