Deep Learning for Biomedical Image Reconstruction

Released on by Jong Chul Ye
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  • Deep Learning for Biomedical Image Reconstruction Book Detail

  • Author : Jong Chul Ye
  • Release Date : 2023-09-30
  • Publisher : Cambridge University Press
  • Genre : Technology & Engineering
  • Pages : 365
  • ISBN 13 : 1316517519
  • File Size : 28,28 MB
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Deep Learning for Biomedical Image Reconstruction by Jong Chul Ye PDF Summary

Book Description: 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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Geometry of Deep Learning

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File Size : 95,95 MB
Total View : 3801 Views
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