Description
In a rapidly evolving field, the intersection of machine learning and medical image reconstruction is a focal point for advancing healthcare technologies. This compilation stems from the Second International Workshop on Machine Learning for Medical Image Reconstruction, showcasing innovative research and techniques that were presented in conjunction with a leading conference in the field. The carefully selected proceedings reflect the collaborative efforts of experts from around the globe, aiming to address the challenging nuances of medical imaging through the lens of machine learning.
Readers will discover insightful contributions that explore the latest methodologies, applications, and theoretical advancements driving this domain forward. The book serves not only as a record of pivotal discussions but also as a valuable resource for researchers, practitioners, and anyone interested in the transformative power of artificial intelligence in enhancing medical imaging processes and ultimately improving patient care.
Readers will discover insightful contributions that explore the latest methodologies, applications, and theoretical advancements driving this domain forward. The book serves not only as a record of pivotal discussions but also as a valuable resource for researchers, practitioners, and anyone interested in the transformative power of artificial intelligence in enhancing medical imaging processes and ultimately improving patient care.
Book Details
Format
Paperback
Pages
276 pages
Language
English
Published
Oct 24, 2019
Publisher
Springer
ISBN-10
3030338428
ISBN-13
9783030338428