Computational pathology and deciphering the complexity of HER2 expression in breast cancer
Background Breast cancer (BC) is the most common cancer and second leading cancer-related death in women. Despite significant advancement in the detection, prognostic and predictive classification of BC, there remains a proportion of patients who recur and die of their disease. Further research o...
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| Format: | Thesis (University of Nottingham only) |
| Language: | English |
| Published: |
2025
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| Online Access: | https://eprints.nottingham.ac.uk/80899/ |