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Deep learning classification of cardiomegaly using combined imaging and non-imaging ICU data

Abstract:

In this paper, we investigate the classification of cardiomegaly using multimodal data, combining imaging data from chest radiography with routinely collected Intensive Care Unit (ICU) data comprising vital sign values, laboratory measurements, and admission metadata. In practice a clinician would assess for the presence of cardiomegaly using a synthesis of multiple sources of data, however, prior machine learning approaches to this task have focused on chest radiographs only. We show that no...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/978-3-030-80432-9_40

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Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
Big Data Institute
Role:
Author
ORCID:
0000-0002-8432-2511
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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Oxford college:
St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College; St Johns College
Role:
Author
ORCID:
0000-0002-0118-1646
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Institution:
University of Oxford
Division:
SSD
Department:
Oxford Internet Institute
Oxford college:
Wolfson College
Role:
Author

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Role:
Editor
Role:
Editor
Role:
Editor
Role:
Editor
Role:
Editor
Publisher:
Springer Publisher's website
Pages:
547-558
Series:
Lecture Notes in Computer Science
Series number:
12722
Host title:
Medical Image Understanding and Analysis. MIUA 2021
Publication date:
2021-07-06
Acceptance date:
2021-05-04
Event title:
25th UK Conference on Medical Image Understanding and Analysis
Event location:
University of Oxford, Oxford, UK
Event website:
https://miua2021.com/
Event start date:
2021-07-12T00:00:00Z
Event end date:
2021-07-14T00:00:00Z
DOI:
EISBN:
978-3-030-80432-9
EISSN:
1611-3349
ISSN:
0302-9743
ISBN:
978-3-030-80431-2
Language:
English
Keywords:
Pubs id:
1189154
Local pid:
pubs:1189154
Deposit date:
2022-01-19

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