Description
| Product ID: | 9780128243831 |
| Product Form: | Paperback / softback |
| Country of Manufacture: | NL |
| Series: | The MICCAI Society book Series |
| Title: | Deep Network Design for Medical Image Computing |
| Subtitle: | Principles and Applications |
| Authors: | Author: Haofu Liao, S. Kevin Zhou, Jiebo Luo |
| Page Count: | 264 |
| Subjects: | Artificial intelligence, Artificial intelligence, Machine learning, Neural networks and fuzzy systems, Computer vision, Machine learning, Neural networks & fuzzy systems, Computer vision |
| Description: | Select Guide Rating Deep Network Design for Medical Image Computing: Principles and Applications covers a range of MIC tasks and discusses design principles of these tasks for deep learning approaches in medicine. These include skin disease classification, vertebrae identification and localization, cardiac ultrasound image segmentation, 2D/3D medical image registration for intervention, metal artifact reduction, sparse-view artifact reduction, etc. For each topic, the book provides a deep learning-based solution that takes into account the medical or biological aspect of the problem and how the solution addresses a variety of important questions surrounding architecture, the design of deep learning techniques, when to introduce adversarial learning, and more. This book will help graduate students and researchers develop a better understanding of the deep learning design principles for MIC and to apply them to their medical problems. |
| Imprint Name: | Academic Press Inc |
| Publisher Name: | Elsevier Science Publishing Co Inc |
| Country of Publication: | GB |
| Publishing Date: | 2022-08-30 |
