Editors:
- Up to date results
- Fast conference proceedings
- State-of-the-art report
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6533)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Conference series link(s): MCV: International MICCAI Workshop on Medical Computer Vision
Conference proceedings info: MCV 2010.
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 (21 papers)
-
Front Matter
-
Shape, Geometry and Registration
-
Markov Models for Image Reconstruction and Analysis
-
Automatic Anatomy Localization via Classification
-
Texture Analysis
Other Volumes
-
Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging
About this book
Editors and Affiliations
-
Computer Science and Artificial Intelligence Laboratory, MIT, USA
Bjoern Menze
-
CSAIL - Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, USA
Georg Langs
-
Laboratory of Neuroimaging, University of California, Los Angeles
Zhuowen Tu
-
Machine Learning and Perception Group, Microsoft Research Cambridge, UK
Antonio Criminisi
Bibliographic Information
Book Title: Medical Computer Vision
Book Subtitle: Recognition Techniques and Applications in Medical Imaging
Editors: Bjoern Menze, Georg Langs, Zhuowen Tu, Antonio Criminisi
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-642-18421-5
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Berlin Heidelberg 2011
Softcover ISBN: 978-3-642-18420-8Published: 25 January 2011
eBook ISBN: 978-3-642-18421-5Published: 02 February 2011
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XI, 226
Number of Illustrations: 20 b/w illustrations, 80 illustrations in colour
Topics: Image Processing and Computer Vision, Artificial Intelligence