Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9352)
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 2015.
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (40 papers)
-
Front Matter
About this book
This book constitutes the proceedings of the 6th International Workshop on Machine Learning in Medical Imaging, MLMI 2015, held in conjunction with MICCAI 2015, in Munich in October 2015.
The 40 full papers presented in this volume were carefully reviewed and selected from 69 submissions. The workshop focuses on major trends and challenges in the area of machine learning in medical imaging and present works aimed to identify new cutting-edge techniques and their use in medical imaging.Â
Keywords
- Cellular image analysis
- Computer-aided diagnosis
- Deep learning
- Health informatics
- Image analysis
- Image processing
- Image retrieval
- Machine learning
- Medical computing
- Medical imaging
- Molecular image analysis
- Multimodal fusion
- Semi-supervised learning
- Statistical methods
- Supervised learning
- Unsupervised learning
Editors and Affiliations
-
School of Computing and Information Technology, University of Wollongong, Wollongong, Australia
Luping Zhou
-
Radiology and BRIC, University of North Carolina, Chapel Hill, USA
Li Wang
-
Biomedical Engineering, Shanghai Jiaotong University, Shanghai, China
Qian Wang
-
Computer Science, Nanjing University, Nanjing, China
Yinghuan Shi
Bibliographic Information
Book Title: Machine Learning in Medical Imaging
Book Subtitle: 6th International Workshop, MLMI 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Proceedings
Editors: Luping Zhou, Li Wang, Qian Wang, Yinghuan Shi
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-24888-2
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Softcover ISBN: 978-3-319-24887-5Published: 12 October 2015
eBook ISBN: 978-3-319-24888-2Published: 08 October 2015
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XII, 341
Number of Illustrations: 128 b/w illustrations
Topics: Image Processing and Computer Vision, Pattern Recognition, Health Informatics, Data Mining and Knowledge Discovery, Artificial Intelligence