Deep Learning for Biomedical Image Reconstruction, Hardback/***

Discover the power of deep neural networks for image reconstruction with this state-of-the-art review of modern theories and applications. Including interdisciplinary examples and a step-by-step background of deep learning, this book provides insight into the future of biomedical image reconstruction with clinical studies and mathematical theory. Publisher: Cambridge University Press Illustration(s): Worked examples or Exercises Number of pages: 400 Publication date: 2023 Dimensions: 175 x 251 x 26 Cover type: Hardback Editor(s): Michael (Ecole Polytechnique Federale de Lausanne) Unser