IntroductionMulti-sequence multi-parameter MRIs are often used to define targets and/or organs at risk (OAR) in radiation therapy (RT) planning.Deep learning has so far focused on developing auto-segmentation models based on a single MRI sequence.The purpose of this work is to develop a multi-sequence deep learning based auto-segmentation (mS-DLAS)
Metamaterials are a class of engineered materials that often violate the routine assumptions that apply to ordinary materials.While metamaterials are typically assembled from carefully designed mesoscale units, the intended bulk-scale functionality can be obscured by unintended emergent effects driven by non-additive unit-unit interactions.These cl
Abstract Background Nursing shortages are an ongoing concern for equi-jec 6 neonatal units, with many struggling to meet recommended nurse to patient ratios.Workforce data underlines the high proportion of neonatal nurses nearing retirement and a reduced number of nurses joining the profession.In order to recommend strategies to increase recruitmen
The brand plays the key part in consumer decision-making on products, and it is crucially important to both producer and consumer.The long-term globalization process has significantly influenced international brand policy.A successful brand in the domestic market is not a prerequisite of success in global markets.Successful global brand reflect on