Machine Learning for Tomographic Imaging

by Xiaojing Ye, Xuanqin Mou, Ge Wang, et al.

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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...

Format:Hardcover

Language:English

ISBN:0750322144

ISBN13:9780750322140

Release Date:March 2020

Publisher:Institute of Physics Publishing

Length:250 Pages

Weight:2.05 lbs.

Dimensions:1.1" x 7.1" x 10.1"

Related Subjects

Engineering Technology

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Machine Learning for Tomographic Imaging

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