Machine Learning for Tomographic Imaging (Ipem-Iop Physics and Engineering in Medicine and Biology) - Softcover

Wang, Professor Ge; Zhang, Professor Yi; Ye, Professor Xiaojing

Softcover

ISBN 10: 0750322179 ISBN 13: 9780750322171

Publisher: Institute of Physics Publishing, 2019

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.

Edition details

• Publisher: Institute of Physics Publishing
• Publication date: 2019
• Language: English
• ISBN 10: 0750322179
• ISBN 13: 9780750322171
• Binding: Paperback
• Number of pages: 412