Conference item
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
Actions
Authors
Contributors
+ Papiez, BW
Role:
Editor
+ Yaqub, M
Role:
Editor
+ Jiao, J
Role:
Editor
+ Namburete, AIL
Role:
Editor
+ Noble, JA
Role:
Editor
Funding
Bibliographic Details
- Publisher:
- Springer Publisher's website
- Host title:
- Medical Image Understanding and Analysis. MIUA 2021
- Series:
- Lecture Notes in Computer Science
- Series number:
- 12722
- Pages:
- 547-558
- 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:
- 2021-07-12
- Event end date:
- 2021-07-14
- DOI:
- EISSN:
-
1611-3349
- ISSN:
-
0302-9743
- EISBN:
- 978-3-030-80432-9
- ISBN:
- 978-3-030-80431-2
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
1189154
- Local pid:
- pubs:1189154
- Deposit date:
- 2022-01-19
Terms of use
- Copyright holder:
- Springer Nature Switzerland AG
- Copyright date:
- 2021
- Rights statement:
- © Springer Nature Switzerland AG 2021
- Notes:
- This is the accepted manuscript version of the paper. The final version is available online from Springer at http://dx.doi.org/10.1007/978-3-030-80432-9_40
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