Items related to Machine Learning for Tomographic Imaging
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
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Institute of Physics Publishing, 2019
ISBN 10: 0750322179
ISBN 13: 9780750322171
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Machine Learning for Tomographic Imaging
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Machine Learning for Tomographic Imaging
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Institute of Physics Publishing, 2019
ISBN 10: 0750322179
ISBN 13: 9780750322171
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Machine Learning for Tomographic Imaging
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Institute of Physics Publishing, 2019
ISBN 10: 0750322179
ISBN 13: 9780750322171
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Machine Learning for Tomographic Imaging
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Institute of Physics Publishing, 2019
ISBN 10: 0750322179
ISBN 13: 9780750322171
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Machine Learning for Tomographic Imaging (Paperback or Softback)
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ISBN 13: 9780750322171
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Machine Learning for Tomographic Imaging
Published by
Institute of Physics Publishing, 2019
ISBN 10: 0750322179
ISBN 13: 9780750322171
Used
Softcover
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Machine Learning for Tomographic Imaging
Published by
Institute of Physics Publishing, 2019
ISBN 10: 0750322179
ISBN 13: 9780750322171
New
Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # 50135844-n
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Machine Learning for Tomographic Imaging
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IOP Publishing Ltd Dez 2019, 2019
ISBN 10: 0750322179
ISBN 13: 9780750322171
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Taschenbuch. 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 # 9780750322171
Quantity: 2 available