Deep Learning for Biomedical Image Reconstruction
Summary
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Deep Learning for Biomedical Image Reconstruction by Jong Chul Ye )
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.| SKU | Unavailable |
| ISBN 13 | 9781316517512 |
| ISBN 10 | 1316517519 |
| Title | Deep Learning for Biomedical Image Reconstruction |
| Author | Jong Chul Ye |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Cambridge University Press |
| Year published | 2023-10-12 |
| Number of pages | 400 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |