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Temporal HeartNet: Towards Human-Level Automatic Analysis of Fetal Cardiac Screening Video

Abstract:

We present an automatic method to describe clinically useful information about scanning, and to guide image interpretation in ultrasound (US) videos of the fetal heart. Our method is able to jointly predict the visibility, viewing plane, location and orientation of the fetal heart at the frame level. The contributions of the paper are three-fold: (i) a convolutional neural network architecture is developed for a multitask prediction, which is computed by sliding a 3 × 3 window spatially throu...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/978-3-319-66185-8_39

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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
More by this author
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
Publisher:
Springer Verlag Publisher's website
Journal:
MICCAI'17: 20th International Conference on Medical Image Computing and Computer Assisted Intervention 2017 Journal website
Volume:
10434
Pages:
341-349
Series:
Lecture Notes in Computer Science
Host title:
MICCAI'17: 20th International Conference on Medical Image Computing and Computer Assisted Intervention 2017
Publication date:
2017-09-04
Acceptance date:
2017-05-16
DOI:
Source identifiers:
701851
ISBN:
9783319661841
Pubs id:
pubs:701851
UUID:
uuid:ad255aa9-688d-416a-bad3-b28516e342a0
Local pid:
pubs:701851
Deposit date:
2017-06-26

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