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Learning and understanding deep spatio-temporal representations from free-hand fetal ultrasound sweeps

Abstract:

Identifying structures in nonstandard fetal ultrasound planes is a significant challenge, even for human experts, due to high variability of the anatomies in terms of their appearance, scale and position but important for image interpretation and navigation. In this work, our contribution is three-fold: (i) we model local temporal dynamics of video clips, by applying convolutional LSTMs on the intermediate CNN layers, which learns to detect fetal structures at various scales; (ii) we proposed...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/978-3-030-32254-0_34

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
Series:
Lecture Notes in Computer Science
Series number:
11768
Volume:
11768 LNCS
Pages:
299-308
Publication date:
2019-01-01
Event title:
International Conference on Medical Image Computing and Computer-Assisted Intervention
Event location:
Shenzhen, China
Event website:
https://www.miccai2019.org/
Event start date:
2019-10-13
Event end date:
2019-10-17
DOI:
EISSN:
1611-3349
ISSN:
0302-9743
EISBN:
9783030322540
ISBN:
9783030322533
Language:
English
Keywords:
Pubs id:
1077404
Local pid:
pubs:1077404
Deposit date:
2020-01-30

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