Deep Learning for Biomedical Image Reconstruction: Advanced Techniques and Applications

A comprehensive guide to deep learning for biomedical image reconstruction, covering fundamental concepts, algorithms, and applications.Provides a thorough understanding of the challenges and opportunities in biomedical image reconstruction using deep learning.Includes practical examples and case studies to illustrate the application of deep learning techniques in medical imaging.Explores the latest advances in deep learning for biomedical image reconstruction, including generative adversarial networks (GANs) and variational autoencoders (VAEs).Written by leading experts in the field, providing authoritative and up-to-date information.