Overview
- High quality selected papers
- Unique visibility
- State of the art research
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7588)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Included in the following conference series:
Conference proceedings info: MLMI 2012.
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Table of contents (33 papers)
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Machine Learning in Medical Imaging
Keywords
About this book
The 33 revised full papers presented were carefully reviewed and selected from 67 submissions. The main aim of this workshop is to help advance the scientific research within the broad field of machine learning in medical imaging. It focuses on major trends and challenges in this area, and it presents work aimed to identify new cutting-edge techniques and their use in medical imaging.
Editors and Affiliations
Bibliographic Information
Book Title: Machine Learning in Medical Imaging
Book Subtitle: Third International Workshop, MLMI 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1, 2012, Revised Selected Papers
Editors: Fei Wang, Dinggang Shen, Pingkun Yan, Kenji Suzuki
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-642-35428-1
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2012
Softcover ISBN: 978-3-642-35427-4Published: 13 November 2012
eBook ISBN: 978-3-642-35428-1Published: 13 November 2012
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XII, 276
Number of Illustrations: 91 b/w illustrations
Topics: Image Processing and Computer Vision, Pattern Recognition, Artificial Intelligence, Computer Imaging, Vision, Pattern Recognition and Graphics, Database Management, Computer Graphics