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Thesis

Deep learning with limited labelled cardiac data

Abstract:

Cardiac data, that which pertain to the heart, are a rich source of information that reflect a patient's cardiac status. Extracting clinically-useful insight from such data can be achieved via deep learning, a sub-field of artificial intelligence. Current clinical deep learning algorithms, however, are heavily dependent upon resources such as abundant data and high-quality annotations, both of which are scarce in many clinical settings. In low-resource settings, for example, the prohibitiv...

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Sub department:
Institute of Biomedical Engineering
Oxford college:
St Cross College
Role:
Author
ORCID:
0000-0002-2898-1790

Contributors

Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Sub department:
Institute of Biomedical Engineering
Role:
Supervisor
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Sub department:
Institute of Biomedical Engineering
Role:
Supervisor
ORCID:
0000-0002-1552-5630
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Examiner
Institution:
The Johns Hopkins University
Role:
Examiner
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford

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