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Substrate Spatial Complexity Analysis for the Prediction of Ventricular Arrhythmias in Patients with Ischemic Cardiomyopathy
BACKGROUND -: Transition zones between healthy myocardium and scar form a spatially complex substrate that may give rise to reentrant ventricular arrhythmias (VA). We sought to assess the utility of a novel machine learning (ML) approach for quantifying 3D spatial complexity of grayscale patterns on...
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| Pubblicato in: | Circ Arrhythm Electrophysiol |
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| Autori principali: | , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7207018/ https://ncbi.nlm.nih.gov/pubmed/32188287 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1161/CIRCEP.119.007975 |
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