Description

Book 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.



Machine Learning for Tomographic Imaging

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    A Hardback by Professor Ge Wang, Professor Yi Zhang, Professor Xiaojing Ye

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      Book details

      Publisher Institute of Physics Publishing
      Published 12/30/2019 12:00:00 AM
      ISBN-13 9780750322140
      978-0750322140
      ISBN-10 0750322144
      Also in:
      Medical imaging

      Description

      Book 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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