Machine Learning for Tomographic Imaging
Professor Ge Wang
ISBN 10: 0750322179 ISBN 13: 9780750322171
Verlag: IOP Publishing, 2019
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PAP
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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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Bibliografische Details
Titel: Machine Learning for Tomographic Imaging
Verlag: IOP Publishing
Erscheinungsdatum: 2019
Einband: PAP
Zustand: New
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Machine Learning for Tomographic Imaging
Verlag:
IOP Publishing Ltd Dez 2019, 2019
ISBN 10: 0750322179
ISBN 13: 9780750322171
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Taschenbuch. Zustand: 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. Artikel-Nr. 9780750322171
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