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

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: Iden...

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Bibliographic Details
Main Authors: Hugh O'Brien, John Whitaker, Baldeep Singh Sidhu, Justin Gould, Tanja Kurzendorfer, Mark D. O'Neill, Ronak Rajani, Karine Grigoryan, Christopher Aldo Rinaldi, Jonathan Taylor, Kawal Rhode, Peter Mountney, Steven Niederer
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-07-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
computed tomography angiography
deep learning
convolutional neural network
fibrosis
left ventricle
automated classification
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2021.655252/full

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https://www.frontiersin.org/articles/10.3389/fcvm.2021.655252/full

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