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Multi-anatomy localization in fetal echocardiography videos

Abstract:

Fetal heart motion is an important diagnostic indicator for structural detection and functional assessment of congenital heart disease. We propose an approach towards integrating deep convolutional and recurrent architectures that utilize localized spatial and temporal features of different anatomical substructures within a global spatiotemporal context for interpretation of fetal echocardiography videos. We formulate our task as a cardiac structure localization problem with convolutional arc...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1109/ISBI.2019.8759551

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
ORCID:
0000-0002-3060-3772
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Name:
European Commission
Grant:
694581
Publisher:
IEEE
Pages:
1761-1764
Publication date:
2019-07-11
Acceptance date:
2019-04-08
Event title:
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)
Event location:
Venice, Italy
Event website:
https://biomedicalimaging.org/2019/
Event start date:
2019-04-08
Event end date:
2019-04-11
DOI:
EISSN:
1945-8452
ISSN:
1945-7928
EISBN:
9781538636411
ISBN:
9781538636428
Language:
English
Keywords:
Pubs id:
1056787
Local pid:
pubs:1056787
Deposit date:
2020-01-29

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