Deep Learning for Biomedical Image Reconstruction

Deep Learning for Biomedical Image Reconstruction

Hardback (12 Oct 2023)

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Publisher's Synopsis

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.

Book information

ISBN: 9781316517512
Publisher: Cambridge University Press
Imprint: Cambridge University Press
Pub date:
DEWEY: 616.0754
DEWEY edition: 23
Language: English
Number of pages: 400
Weight: 856g
Height: 175mm
Width: 251mm
Spine width: 26mm