Machine Learning for Tomographic Imaging

Machine Learning for Tomographic ImagingWritten by leading researchers in the field, Machine Learning for Tomographic Imaging presents a unified overview of deep learning based tomographic imaging. Key concepts, including classic reconstruction ideas and human vision inspired insights, are introduced as a foundation for a thorough examination of artificial neural networks and deep tomographic reconstruction. An engaging and accessible style makes this book an ideal introduction for those in

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which includes the use of epidemiological tools to identify risk factors for animal health

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John Lyly was repeatedly described as the central figure in contemporary English literature

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The book provides information on where and how predictive analytics is used in various domains in the healthcare space

This collection seeks to locate the sex in the well-known trilogy of ‘sex & drugs & rock ‘n’ roll’