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Journal article

Automated cardiovascular magnetic resonance image analysis with fully convolutional networks

Abstract:

Background

Cardiovascular magnetic resonance (CMR) imaging is a standard imaging modality for assessing cardiovascular diseases (CVDs), the leading cause of death globally. CMR enables accurate quantification of the cardiac chamber volume, ejection fraction and myocardial mass, providing information for diagnosis and monitoring of CVDs. However, for years, clinicians have been relying on manual approaches for CMR image analysis, which is time consuming and prone to subjective err...

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Publication status:
Published
Peer review status:
Peer reviewed

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Files:
Publisher copy:
10.1186/s12968-018-0471-x

Authors


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Role:
Author
ORCID:
0000-0003-2943-7698
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Marie Skłodowska Curie European Fellowships More from this funder
National Institute for Health Research More from this funder
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Publisher:
BioMed Central Publisher's website
Journal:
Journal of Cardiovascular Magnetic Resonance Journal website
Volume:
20
Issue:
1
Pages:
65
Publication date:
2018-09-14
Acceptance date:
2018-06-20
DOI:
ISSN:
1097-6647 and 1532-429X
Pmid:
30217194
Source identifiers:
920336
Language:
English
Keywords:
Pubs id:
pubs:920336
UUID:
uuid:4f697172-f065-401b-8e86-8f4fb4610c0e
Local pid:
pubs:920336
Deposit date:
2018-10-18

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