Pathological Cluster Identification by Unsupervised Analysis in 3,822 UK Biobank Cardiac MRIs

We perform unsupervised analysis of image-derived shape and motion features extracted from 3,822 cardiac Magnetic resonance imaging (MRIs) of the UK Biobank. First, with a feature extraction method previously published based on deep learning models, we extract from each case 9 feature values charact...

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Detalles Bibliográficos
Autores principales: Zheng, Qiao, Delingette, Hervé, Fung, Kenneth, Petersen, Steffen E., Ayache, Nicholas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7701336/
https://www.ncbi.nlm.nih.gov/pubmed/33313075
http://dx.doi.org/10.3389/fcvm.2020.539788

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7701336/
https://www.ncbi.nlm.nih.gov/pubmed/33313075
http://dx.doi.org/10.3389/fcvm.2020.539788

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