Titlebook: Uncertainty for Safe Utilization of Machine Learning in Medical Imaging; 4th International Wo Carole H. Sudre,Christian F. Baumgartner,Will

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https://doi.org/10.1007/978-3-031-16749-2artificial intelligence; bayesian; bayesian networks; bioinformatics; computer vision; deep learning; imag

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Luke Whitbread,Mark JenkinsonThis book is a collection of Ed Freeman’s most influential and important works on stakeholder theory as well as business ethics, humanities, and capitalism..978-3-031-04566-0978-3-031-04564-6Series ISSN 0925-6733 Series E-ISSN 2215-1680

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Matthew Baugh,Jeremy Tan,Athanasios Vlontzos,Johanna P. Müller,Bernhard Kainzroximate model is established as an efficient method for RCS estimation of phased arrays. This book presents a detailed formulation of approximate method to determine RCS of phased arrays, which is explained us978-981-287-753-6978-981-287-754-3Series ISSN 2191-8112 Series E-ISSN 2191-8120

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Uncertainty Categories in?Medical Image Segmentation: A Study of?Source-Related Diversitythat should be captured whenever uncertainties are used. We take the well characterised BraTS challenge dataset to demonstrate that there are substantial differences in both magnitude and spatial pattern of uncertainties from the different categories, and discuss the implications of these in various