Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10019)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Conference series link(s): MLMI: International Workshop on Machine Learning in Medical Imaging
Conference proceedings info: MLMI 2016.
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Table of contents (38 papers)
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Front Matter
About this book
This book constitutes the refereed proceedings of the 7th International Workshop on Machine Learning in Medical Imaging, MLMI 2016, held in conjunction with MICCAI 2016, in Athens, Greece, in October 2016.
The 38 full papers presented in this volume were carefully reviewed and selected from 60 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.
Keywords
- computer-aided diagnosis
- image processing
- machine learning
- neural networks
- supervised learning
- 3D ultrasound
- brain MRI
- classification
- deep learning
- dimensionality reduction
- ensemble learning
- factorization methods
- image segmentation
- kernel methods
- manifold learning
- medical image analysis
- multi-task learning
- regression trees
- sensorless reconstruction
- shape representation
Editors and Affiliations
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University of North Carolina , Chapel Hill, USA
Li Wang, Ehsan Adeli
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Shanghai Jiaotong University , Shanghai, China
Qian Wang
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Nanjing University , Nanjing, China
Yinghuan Shi
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Korea University , Seoul, Korea (Republic of)
Heung-Il Suk
Bibliographic Information
Book Title: Machine Learning in Medical Imaging
Book Subtitle: 7th International Workshop, MLMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings
Editors: Li Wang, Ehsan Adeli, Qian Wang, Yinghuan Shi, Heung-Il Suk
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-47157-0
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2016
Softcover ISBN: 978-3-319-47156-3Published: 01 October 2016
eBook ISBN: 978-3-319-47157-0Published: 10 October 2016
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIV, 324
Number of Illustrations: 127 b/w illustrations
Topics: Image Processing and Computer Vision, Pattern Recognition, Health Informatics, Data Mining and Knowledge Discovery, Artificial Intelligence