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...

Olles dieđut

Bibliográfalaš dieđut
Váldodahkkit: Qiao Zheng, Hervé Delingette, Kenneth Fung, Steffen E. Petersen, Nicholas Ayache
Materiálatiipa: Artihkal
Giella:English
Almmustuhtton: Frontiers Media S.A. 2020-11-01
Ráidu:Frontiers in Cardiovascular Medicine
Fáttát:
cluster analysis
feature extraction
cine MRI
UK Biobank
cardiac pathology
Liŋkkat:https://www.frontiersin.org/articles/10.3389/fcvm.2020.539788/full

Interneahtta

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

Geahča maid