Machine Learning in Medical Imaging 8th International Workshop, MLMI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Proceedings

This book constitutes the refereed proceedings of the 8th International Workshop on Machine Learning in Medical Imaging, MLMI 2017, held in conjunction with MICCAI 2017, in Quebec City, QC, Canada, in September 2017. The 44 full papers presented in this volume were carefully reviewed and selected fr...

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Bibliographic Details
Main Authors Wang, Qian, Shi, Yinghuan, Suk, Heung-Il, Suzuki, Kenji
Format eBook Conference Proceeding
LanguageEnglish
Published Cham Springer Nature 2017
Springer International Publishing AG
Springer International Publishing
Springer
Edition1
SeriesLecture Notes in Computer Science
Subjects
Artificial Intelligence
Computer programming, programs, data
Computer Science
Data Mining and Knowledge Discovery
Diagnostic imaging
Health Informatics
Image Processing and Computer Vision
Machine learning
Software engineering
Software Engineering/Programming and Operating Systems
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Summary:This book constitutes the refereed proceedings of the 8th International Workshop on Machine Learning in Medical Imaging, MLMI 2017, held in conjunction with MICCAI 2017, in Quebec City, QC, Canada, in September 2017. The 44 full papers presented in this volume were carefully reviewed and selected from 63 submissions. The main aim of this workshop is to help advance scientific research within the broad field of machine learning in medical imaging. The workshop focuses on major trends and challenges in this area, and presents works aimed to identify new cutting-edge techniques and their use in medical imaging.
ISBN:3319673890
9783319673899
9783319673882
3319673882
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-319-67389-9