Machine Learning for Tomographic Imaging - Couverture rigide

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

Couverture rigide

ISBN 10 : 0750322144 ISBN 13 : 9780750322140

Editeur : 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.

Détails de l'édition

• Éditeur: Institute of Physics Publishing
• Date d'édition: 2019
• Langue: anglais
• ISBN 10: 0750322144
• ISBN 13: 9780750322140
• Reliure: Relié
• Nombre de pages: 411
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible