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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2020
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| Materias: | |
| 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 |