Deep learning: definition and perspectives for thoracic imaging
Deep learning: definition and perspectives for thoracic imaging
About this item
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Author / Creator
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title
Language
English
Formats
Publication information
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
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Scope and Contents
Contents
Relevance and penetration of machine learning in clinical practice is a recent phenomenon with multiple applications being currently under development. Deep learning—and especially convolutional neural networks (CNNs)—is a subset of machine learning, which has recently entered the field of thoracic imaging. The structure of neural networks, organiz...
Alternative Titles
Full title
Deep learning: definition and perspectives for thoracic imaging
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_proquest_journals_2375282462
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2375282462
Other Identifiers
ISSN
0938-7994
E-ISSN
1432-1084
DOI
10.1007/s00330-019-06564-3
