A machine learning cardiac magnetic resonance approach to extract disease features and automate pulmonary arterial hypertension diagnosis

AIMS: Pulmonary arterial hypertension (PAH) is a progressive condition with high mortality. Quantitative cardiovascular magnetic resonance (CMR) imaging metrics in PAH target individual cardiac structures and have diagnostic and prognostic utility but are challenging to acquire. The primary aim of t...

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Détails bibliographiques
Publié dans:Eur Heart J Cardiovasc Imaging
Auteurs principaux: Swift, Andrew J, Lu, Haiping, Uthoff, Johanna, Garg, Pankaj, Cogliano, Marcella, Taylor, Jonathan, Metherall, Peter, Zhou, Shuo, Johns, Christopher S, Alabed, Samer, Condliffe, Robin A, Lawrie, Allan, Wild, Jim M, Kiely, David G
Format: Artigo
Langue:Inglês
Publié: Oxford University Press 2020
Sujets:
Original Articles
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC7822638/
https://ncbi.nlm.nih.gov/pubmed/31998956
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/ehjci/jeaa001
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