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portada Deep Learning for Biomedical Image Reconstruction
Type
Physical Book
Language
English
Pages
400
Format
Hardcover
Dimensions
24.6x17x2.4 cm
Weight
0.88 kg.
ISBN13
9781316517512
Edition No.
1

Deep Learning for Biomedical Image Reconstruction

Ye, Jong Chul ; Eldar, Yonina C. ; Unser, Michael (Author) · Cambridge University Press · Hardcover

Deep Learning for Biomedical Image Reconstruction - Ye, Jong Chul ; Eldar, Yonina C. ; Unser, Michael

New Book Imported to Netherlands
Delivery: 11 Sep - 16 Sep Shipping: 14 to 16 business days.
€ 168,18
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€ 168,18

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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The book is written in English.
The binding of this edition is Hardcover.

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