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Machine Learning for Tomographic Imaging

Machine Learning for Tomographic Imaging

by Wang, Ge
No customer reviews yet ISBN 9780750322140 Iop Publishing Ltd

The area of machine learning, especially deep learning, has exploded in recent years, producing advances in everything from speech recognition and gaming to drug discovery. Tomographic imaging is another major area that is being transformed by machine learning, and its potential to revolutionise medical imaging is significant.

Written by active 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. X-ray CT and MRI reconstruction methods are covered in detail, and other medical imaging applications are discussed.

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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Product details

BrandIop Publishing Ltd
Pub dateMar 15, 2020
ISBN-100750322144
ISBN-139780750322140
LanguageEnglish
Dimensions10.46 × 1.07 × 7.37 in
Weight2 lb
Last updated 2026-03-29 12:29
$125.04
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