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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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7822638/
https://www.ncbi.nlm.nih.gov/pubmed/31998956
http://dx.doi.org/10.1093/ehjci/jeaa001

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7822638/
https://www.ncbi.nlm.nih.gov/pubmed/31998956
http://dx.doi.org/10.1093/ehjci/jeaa001

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