Editors:
State-of-the-art research
Fast-track conference proceedings
Unique visibility
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6357)
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 2010.
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Table of contents (23 papers)
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Front Matter
About this book
Keywords
- MRI
- anatomy
- computer-aided diagnosis
- image analysis
- image database retrieval
- image reconstruction
- image segmentation
- image-guided therapy
- machine learning
- medical imaging
- neural networks
- pathologic image analysis
- pattern re
- ultrasound imaging
- algorithm analysis and problem complexity
Editors and Affiliations
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IBM Research Almaden, San Jose, USA
Fei Wang
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Philips Research North America, Briarcliff Manor, USA
Pingkun Yan
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The University of Chicago, Chicago, USA
Kenji Suzuki
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University of North Carolina, Chapel Hill, USA
Dinggang Shen
Bibliographic Information
Book Title: Machine Learning in Medical Imaging
Book Subtitle: First International Workshop, MLMI 2010, Held in Conjunction with MICCAI 2010, Beijing, China, September 20, 2010, Proceedings
Editors: Fei Wang, Pingkun Yan, Kenji Suzuki, Dinggang Shen
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-642-15948-0
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2010
Softcover ISBN: 978-3-642-15947-3Published: 03 September 2010
eBook ISBN: 978-3-642-15948-0Published: 10 September 2010
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: IX, 192
Number of Illustrations: 84 b/w illustrations
Topics: Artificial Intelligence, Computer Vision, Radiology, Automated Pattern Recognition, Computer Imaging, Vision, Pattern Recognition and Graphics, Algorithms