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Deep Learning for Biomedical Image Reconstruction - Ye, Jong Chul (Editor), and Eldar, Yonina C. (Editor), and Unser, Michael (Editor)
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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 ...

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Deep Learning for Biomedical Image Reconstruction 2023, Cambridge University Press, Cambridge

ISBN-13: 9781316517512

Hardcover