Overview
- High quality selected papers
- Unique visibility
- State of the art research
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7766)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Included in the following conference series:
Conference proceedings info: MCV 2012.
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Table of contents (28 papers)
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Segmentation
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Detection, Localization, Tracking
Other volumes
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Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging
Keywords
About this book
The 24 papers have been selected out of 42 submissions. At MCV 2012, 12 papers were presented as a poster and 12 as a poster together with a plenary talk. The book also features four selected papers which were presented at the previous CVPR Medical Computer Vision workshop held in conjunction with the International Conference on Computer Vision and Pattern Recognition on June 21 2012 in Providence, Rhode Island, USA. The papers explore the use of modern computer vision technology in tasks such as automatic segmentation and registration, localization of anatomical features and detection of anomalies, as well as 3D reconstruction and biophysical model personalization.
Editors and Affiliations
Bibliographic Information
Book Title: Medical Computer Vision: Recognition Techniques and Applications in Medical Imaging
Book Subtitle: Second International MICCAI Workshop, MCV 2012, Nice, France, October 5, 2012, Revised Selected Papers
Editors: Bjoern H. Menze, Georg Langs, Le Lu, Albert Montillo, Zhuowen Tu, Antonio Criminisi
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-642-36620-8
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2013
Softcover ISBN: 978-3-642-36619-2Published: 27 March 2013
eBook ISBN: 978-3-642-36620-8Published: 14 March 2013
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XI, 294
Number of Illustrations: 136 b/w illustrations
Topics: Image Processing and Computer Vision, Health Informatics, Pattern Recognition, Computer Applications