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Deep Learning for Biomedical Image Reconstruction
Ye, Jong Chul ; Eldar, Yonina C. ; Unser, Michael (Author)
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Cambridge University Press
· Hardcover
Deep Learning for Biomedical Image Reconstruction - Ye, Jong Chul ; Eldar, Yonina C. ; Unser, Michael
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Origin: U.S.A.
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Synopsis "Deep Learning for Biomedical Image Reconstruction"
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.
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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Hardcover.
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