Deep Learning for Biomedical Image Reconstruction
Yonina C Eldar editor Jong Chul Ye editor Michael Unser editor
Format:Hardback
Publisher:Cambridge University Press
Published:12th Oct '23
Should be back in stock very soon
Discover the power of deep neural networks for image reconstruction with this state-of-the-art review of modern theories and applications. The background theory of deep learning is introduced step-by-step, and by incorporating modeling fundamentals this book explains how to implement deep learning in a variety of modalities, including X-ray, CT, MRI and others. Real-world examples demonstrate an interdisciplinary approach to medical image reconstruction processes, featuring numerous imaging applications. Recent clinical studies and innovative research activity in generative models and mathematical theory will inspire the reader towards new frontiers. This book is ideal for graduate students in Electrical or Biomedical Engineering or Medical Physics.
ISBN: 9781316517512
Dimensions: 250mm x 174mm x 23mm
Weight: 850g
400 pages