Thesis
Bayesian fusion of continuous-valued labels in biomedical applications
- Abstract:
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Expert labelling is the gold standard for diagnosing patient-specific diseases from medical data. However, experts are relatively scarce, their time is expensive, and the task of labelling is time-consuming. While automated algorithms offer advantages of time efficiency, repeatability, and cost-saving benefits compared to manual labelling, there remains a substantial discrepancy in their estimation as well as reliability that limit their use.
Two commonly-encountered and clinica...
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- Files:
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(Preview, pdf, 4.4MB, Terms of use)
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Authors
Contributors
+ Clifton, D
- Department:
- Engineering Science
- Role:
- Supervisor
+ Clifford, G
- Department:
- Emory University
- Role:
- Supervisor
- DOI:
- Type of award:
- DPhil
- Level of award:
- Doctoral
- Awarding institution:
- University of Oxford
- UUID:
-
uuid:2d449f57-4e1d-45a0-8aca-143a2590192a
- Deposit date:
-
2016-10-24
- ARK identifier:
Terms of use
- Copyright holder:
- Zhu, T
- Copyright date:
- 2016
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