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Identifying putative solutions and a research agenda around these issues is important. While cases involving critically ill children are complex and emotionally fraught, the interconnectedness of these issues requires the law to engage and respond coherently to the impacts of healthcare globalisation.For deep learning networks used to segment organs at risk (OARs) in head and neck (HN) cancers, the class-imbalance problem between small volume OARs and whole computed tomography (CT) images results in delineation with serious false-


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