Automated Left Ventricle Ischemic Scar Detection in CT Using Deep Neural Networks

Objectives: The aim of this study is to develop a scar detection method for routine computed tomography angiography (CTA) imaging using deep convolutional neural networks (CNN), which relies solely on anatomical information as input and is compatible with existing clinical workflows. Background: Ide...

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Detalles Bibliográficos
Autores principales: O'Brien, Hugh, Whitaker, John, Singh Sidhu, Baldeep, Gould, Justin, Kurzendorfer, Tanja, O'Neill, Mark D., Rajani, Ronak, Grigoryan, Karine, Rinaldi, Christopher Aldo, Taylor, Jonathan, Rhode, Kawal, Mountney, Peter, Niederer, Steven
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8283258/
https://www.ncbi.nlm.nih.gov/pubmed/34277724
http://dx.doi.org/10.3389/fcvm.2021.655252

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8283258/
https://www.ncbi.nlm.nih.gov/pubmed/34277724
http://dx.doi.org/10.3389/fcvm.2021.655252

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