Graph Learning in Medical Imaging First International Workshop, GLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings

This book constitutes the refereed proceedings of the First International Workshop on Graph Learning in Medical Imaging, GLMI 2019, held in conjunction with MICCAI 2019 in Shenzhen, China, in October 2019.The 21 full papers presented were carefully reviewed and selected from 42 submissions. The pape...

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Bibliographic Details
Main Authors Zhang, Daoqiang, Zhou, Luping, Jie, Biao, Liu, Mingxia
Format eBook Conference Proceeding
LanguageEnglish
Published Cham Springer Nature 2019
Springer International Publishing AG
Springer International Publishing
Edition1
SeriesLecture Notes in Computer Science
Subjects
Artificial Intelligence
Computer Appl. in Social and Behavioral Sciences
Computer Science
Diagnostic imaging-Digital techniques-Congresses
Image Processing and Computer Vision
Pattern Recognition
Special computer methods
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ISBN9783030358174
3030358178
303035816X
9783030358167
ISSN0302-9743
1611-3349
DOI10.1007/978-3-030-35817-4

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Summary:This book constitutes the refereed proceedings of the First International Workshop on Graph Learning in Medical Imaging, GLMI 2019, held in conjunction with MICCAI 2019 in Shenzhen, China, in October 2019.The 21 full papers presented were carefully reviewed and selected from 42 submissions. The papers focus on major trends and challenges of graph learning in medical imaging and present original work aimed to identify new cutting-edge techniques and their applications in medical imaging.
ISBN:9783030358174
3030358178
303035816X
9783030358167
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-030-35817-4