Utvidet returrett til 31. januar 2025

Machine Learning for Tomographic Imaging

Om Machine Learning for Tomographic Imaging

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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  • Språk:
  • Engelsk
  • ISBN:
  • 9780750322140
  • Bindende:
  • Hardback
  • Sider:
  • 411
  • Utgitt:
  • 30. desember 2019
  • Dimensjoner:
  • 178x254x24 mm.
  • Vekt:
  • 930 g.
  • BLACK NOVEMBER
  Gratis frakt
Leveringstid: 2-4 uker
Forventet levering: 21. desember 2024
Utvidet returrett til 31. januar 2025

Beskrivelse av Machine Learning for Tomographic Imaging

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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