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Machine Learning for Tomographic Imaging (IPEM-IOP Series in Physics and Engineering in Medicine

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   Author: Baturi   |   17 January 2022   |   : 0

English | 2019 | ISBN: 0750322144 | 410 pages | True (PDF,EPUB,MOB) | 159.84 MB
Machine learning represents a paradigm shift in tomographic imaging, and image reconstruction is a new frontier of machine learning. This book will meet the needs of those who want to catch the wave of smart imaging. The book targets graduate students and researchers in the imaging community. Open network software, working datasets, and multimedia will be included. The first of its kind in the emerging field of deep reconstruction and deep imaging, Machine Learning for Tomographic Imaging presents the most essential elements, latest progresses and an in-depth perspective on this important topic.

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