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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Veröffentlicht in:Eur Heart J Cardiovasc Imaging
Hauptverfasser: 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
Sprache:Inglês
Veröffentlicht: Oxford University Press 2020
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Original Articles
Online Zugang: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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