Pulmonary hypertension in association with lung disease : quantitative CT and artificial intelligence to the rescue? State-of-the-art review

Dwivedi, K., Sharkey, M., Condliffe, R. et al. (8 more authors) (2021) Pulmonary hypertension in association with lung disease : quantitative CT and artificial intelligence to the rescue? State-of-the-art review. Diagnostics, 11 (4). 679.

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2021 The Authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Keywords: PH-Lung disease; artificial intelligence; hypoxia; machine learning; pulmonary arterial hypertension; pulmonary hypertension; quantitative CT
Dates:
  • Accepted: 5 April 2021
  • Published (online): 9 April 2021
  • Published: 9 April 2021
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
The University of Sheffield > Sheffield Teaching Hospitals
Funding Information:
FunderGrant number
The Wellcome Trust205188/Z/16/Z
Depositing User: Symplectic Sheffield
Date Deposited: 06 May 2021 10:36
Last Modified: 06 May 2021 10:36
Status: Published
Publisher: MDPI AG
Refereed: Yes
Identification Number: https://doi.org/10.3390/diagnostics11040679
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