本の詳細
形式
ペーパーバック
ページ数
265
言語
英語
公開されました
Sep 9, 2017
出版社
Springer
版
1st ed. 2017
ISBN-10
3319676741
ISBN-13
9783319676746
説明
This comprehensive volume captures the essential knowledge and breakthroughs shared during the GRAIL 2017 workshop, focusing on the intersection of graph theory and biomedical image analysis. It brings together a diverse array of research work and advancements that highlight the pivotal role graphs play in understanding complex biomedical data. Researchers and practitioners in the fields of computational anatomy and imaging genetics are invited to delve into the innovative methodologies discussed, which enhance the processing and interpretation of medical images.
The contributions within this collection showcase cutting-edge techniques and applications that push the boundaries of traditional imaging methods. By examining the latest findings and perspectives from experts in the field, readers gain valuable insights into the integration of graph-based approaches with imaging technologies. This work serves as a vital resource for those looking to stay at the forefront of biomedical research and to explore the dynamic relationship between computational techniques and medical imaging.
The contributions within this collection showcase cutting-edge techniques and applications that push the boundaries of traditional imaging methods. By examining the latest findings and perspectives from experts in the field, readers gain valuable insights into the integration of graph-based approaches with imaging technologies. This work serves as a vital resource for those looking to stay at the forefront of biomedical research and to explore the dynamic relationship between computational techniques and medical imaging.
ジャンル
科学&技術