Computational pathology and deciphering the complexity of HER2 expression in breast cancer

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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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Bibliographic Details
Main Author:	Atallah, Nehal Mohammed
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2025
Subjects:	breast cancer computational pathology prognostic parameters HER2 expression hormone receptor expression HER2 protein overexpression molecular pathology
Online Access:	https://eprints.nottingham.ac.uk/80899/

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