Description
This collection brings together innovative research presented at the First International Workshop on Graph Learning in Medical Imaging, showcasing the forefront of advancements in this fascinating intersection of technology and healthcare. Participants engaged in dynamic discussions and shared insights on the implications and applications of graph learning techniques in the medical imaging field.
With contributions from renowned experts, the proceedings highlight recent methodologies, findings, and future directions, providing readers with a comprehensive overview of current trends and challenges. This work serves as a valuable resource for researchers and practitioners eager to delve into cutting-edge developments that promise to transform medical diagnostics and treatment through enhanced imaging capabilities.
With contributions from renowned experts, the proceedings highlight recent methodologies, findings, and future directions, providing readers with a comprehensive overview of current trends and challenges. This work serves as a valuable resource for researchers and practitioners eager to delve into cutting-edge developments that promise to transform medical diagnostics and treatment through enhanced imaging capabilities.
Book Details
Format
Kindle
Pages
345 pages
Language
English
Published
Nov 13, 2019
Publisher
Springer
ISBN-10
3030358178
ISBN-13
9783030358174