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Towards scale and position invariant task classification using normalised visual scanpaths in clinical fetal ultrasound

Abstract:

We present a method for classifying tasks in fetal ultrasound scans using the eye-tracking data of sonographers. The visual attention of a sonographer captured by eye-tracking data over time is defined by a scanpath. In routine fetal ultrasound, the captured standard imaging planes are visually inconsistent due to fetal position, movements, and sonographer scanning experience. To address this challenge, we propose a scale and position invariant task classification method using normalised visu...

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Publication status:
Published
Peer review status:
Peer reviewed

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Role:
Author
ORCID:
0000-0001-9200-6204
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Role:
Author
ORCID:
0000-0003-4683-2606
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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
European Research Council More from this funder
Publisher:
Springer Publisher's website
Pages:
129-138
Series number:
12967
Host title:
ASMUS 2021: Simplifying Medical Ultrasound
Publication date:
2021-09-21
Acceptance date:
2021-07-26
Event title:
2nd International Workshop of Advances in Simplifying Medical UltraSound (ASMUS2021)
Event location:
Virtual event
Event website:
https://miccai-ultrasound.github.io/#/asmus21
Event start date:
2021-09-27T00:00:00Z
Event end date:
2021-09-27T00:00:00Z
DOI:
EISBN:
978-3-030-87583-1
Pmid:
35368447
ISBN:
978-3-030-87582-4
Language:
English
Keywords:
Pubs id:
1210711
Local pid:
pubs:1210711
Deposit date:
2022-05-31

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