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Deep Learning for Biomedical Image Reconstruction

Deep Learning for Biomedical Image Reconstruction

Yonina C. Eldar, Michael Unser, Jong Chul Ye

Cambridge University Press
Publication date : 2023-10-12

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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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About the book

Author

Yonina C. Eldar , Michael Unser , Jong Chul Ye

Imprint

Cambridge University Press

Collection

n.c

Publication date

2023-10-12

Pages

n.c

Print ISBN

9781316517512

Language

English

Ebook informations

EAN PDF

9781009051026

Price

£94.94

Copy count 0

Print count 0

File size 21289 Ko

Informations accessibility

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About author(s)

Yonina C. Eldar

Michael Unser

Jong Chul Ye

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