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Thesis

Supervoxel-based image registration and analysis with application to lung cancer

Abstract:

Lung diseases, including lung cancer, are amongst the largest burdens to healthcare systems worldwide. Improving the extraction of information from imaging data has the potential to provide more accurate diagnosis and more effective treatment. For example, assessing regional lung function could guide more effective radiotherapy treatment to spare well-functioning parts of the lungs. One meaningful regional representation is achieved by locally clustering similar image voxels together using...

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Division:
MPLS
Department:
Engineering Science
Sub department:
Institute of Biomedical Engineering
Research group:
The Oxford Biomedical Image Analysis
Oxford college:
Linacre College
Role:
Author
ORCID:
0000-0002-3068-1068

Contributors

Role:
Supervisor
Division:
MPLS
Department:
Engineering Science
Role:
Supervisor
ORCID:
0000-0001-8139-3480
More from this funder
Programme:
Cancer Imaging Centre in Oxford (CICO)
Funding agency for:
Szmul, A
Grant:
C5255/A16466
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford

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