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Journal of Nuclear Cardiology
Published in: Journal of Nuclear Cardiology 6/2022

07-12-2021 | Editorial

Deep learning-based attenuation map generation and correction; could it be useful clinically?

Authors: Ananya Singh, MSc, Robert J. H. Miller, MD

Published in: Journal of Nuclear Cardiology | Issue 6/2022

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Excerpt

Deep learning (DL) is a branch of machine learning characterized by a multi-layered learning approach. Convolutional neural networks (CNNs) are an example of DL which are commonly applied to imaging data.1,2 DL models are particularly well suited to direct image analysis and image manipulation because each input image pixel can be mapped to one neuron in the first layer of the network. Since neurons are only connected to nearby neurons in the following layer, the structural relationships within the image are preserved through the model layers. …
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Metadata
Title
Deep learning-based attenuation map generation and correction; could it be useful clinically?
Authors
Ananya Singh, MSc
Robert J. H. Miller, MD
Publication date
07-12-2021
Publisher
Springer International Publishing
Published in
Journal of Nuclear Cardiology / Issue 6/2022
Print ISSN: 1071-3581
Electronic ISSN: 1532-6551
DOI
https://doi.org/10.1007/s12350-021-02875-5

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