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

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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Bibliographic Details
Main Authors: Qiao Zheng, Hervé Delingette, Kenneth Fung, Steffen E. Petersen, Nicholas Ayache
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-11-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
cluster analysis
feature extraction
cine MRI
UK Biobank
cardiac pathology
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2020.539788/full

Internet

https://www.frontiersin.org/articles/10.3389/fcvm.2020.539788/full

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