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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.
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Table of contents (21 papers)
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Front Matter
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Shape, Geometry and Registration
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Markov Models for Image Reconstruction and Analysis
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Automatic Anatomy Localization via Classification
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Texture Analysis
Other Volumes
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Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging
About this book
Keywords
- 3D imaging
- 3D shape modeling
- CT
- classification
- computer vision
- digital microscope
- discriminative training
- feature detection
- generalized hough transform
- graph cuts
- image analysis
- image registration
- machine learning
- neurosurgery
- object localization
- optimal model generation
Editors and Affiliations
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Computer Science and Artificial Intelligence Laboratory, MIT, USA
Bjoern Menze
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CSAIL - Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, USA
Georg Langs
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Laboratory of Neuroimaging, University of California, Los Angeles
Zhuowen Tu
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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: Computer Vision, Artificial Intelligence