Interpretability and annotation scarcity in deep medical image segmentation
This thesis presents an exploration into the challenges of medical image segmentation, particularly focusing on reliability, interpretability, and strong annotation sparcity, through the use of tailored loss functions. It tackles three primary issues: 1) enhancing segmentation output quality 2) addr...
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| Format: | Thesis (University of Nottingham only) |
| Language: | English |
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2024
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| Online Access: | https://eprints.nottingham.ac.uk/78836/ |