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Machine Learning for Tomographic Imaging (IOP ebooks) (IPEM-IOP Series in Physics and Engineering in Medicine and Biology) - Hardcover
Synopsis
Written 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 applied disciplines, as well as those in more theoretical fields who wish to learn about application contexts. Hands-on projects are also suggested, and links to open source software, working datasets, and network models are included.
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Machine Learning for Tomographic Imaging (Programme: IOP Expanding Physics)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Machine Learning for Tomographic Imaging
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Institute of Physics Publishing, 2020
ISBN 10: 0750322144
ISBN 13: 9780750322140
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Hardcover
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Machine Learning for Tomographic Imaging
Published by
Institute of Physics Publishing, 2020
ISBN 10: 0750322144
ISBN 13: 9780750322140
New
Hardcover
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days. Seller Inventory # C9780750322140
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Machine Learning for Tomographic Imaging
Published by
IOP Publishing Ltd Mär 2020, 2020
ISBN 10: 0750322144
ISBN 13: 9780750322140
New
Hardcover
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Buch. Condition: Neu. Neuware - Written 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 applied disciplines, as well as those in more theoretical fields who wish to learn about application contexts. Hands-on projects are also suggested, and links to open source software, working datasets, and network models are included. Seller Inventory # 9780750322140
Quantity: 2 available
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Machine Learning for Tomographic Imaging
Seller: moluna, Greven, Germany
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Gebunden. Condition: New. Seller Inventory # 288906945
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