Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging: MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, ... Vision, Pattern Recognition, and Graphics)
ISBN-13:
9783319611877
ISBN-10:
3319611879
Edition:
1st ed. 2017
Author:
Mark Jenkinson, Georg Langs, Annemie Ribbens, Henning Müller, Bjoern Menze, Albert Montillo, Albert C. S. Chung, Dimitris Metaxas, M. Jorge Cardoso, Tal Arbel, B. Michael Kelm, Weidong Cai, William M. Wells III, Shaoting Zhang
Publication date:
2017
Publisher:
Springer
Format:
Paperback
235 pages
FREE US shipping
Book details
ISBN-13:
9783319611877
ISBN-10:
3319611879
Edition:
1st ed. 2017
Author:
Mark Jenkinson, Georg Langs, Annemie Ribbens, Henning Müller, Bjoern Menze, Albert Montillo, Albert C. S. Chung, Dimitris Metaxas, M. Jorge Cardoso, Tal Arbel, B. Michael Kelm, Weidong Cai, William M. Wells III, Shaoting Zhang
Publication date:
2017
Publisher:
Springer
Format:
Paperback
235 pages
Summary
Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging: MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, ... Vision, Pattern Recognition, and Graphics) (ISBN-13: 9783319611877 and ISBN-10: 3319611879), written by authors
Mark Jenkinson, Georg Langs, Annemie Ribbens, Henning Müller, Bjoern Menze, Albert Montillo, Albert C. S. Chung, Dimitris Metaxas, M. Jorge Cardoso, Tal Arbel, B. Michael Kelm, Weidong Cai, William M. Wells III, Shaoting Zhang, was published by Springer in 2017.
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Description
This book constitutes the thoroughly refereed post-workshop proceedings of the International Workshop on Medical Computer Vision, MCV 2016, and of the International Workshop on Bayesian and grAphical Models for Biomedical Imaging, BAMBI 2016, held in Athens, Greece, in October 2016, held in conjunction with the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016. The 13 papers presented in MCV workshop and the 6 papers presented in BAMBI workshop were carefully reviewed and selected from numerous submissions. The goal of the MCV workshop is to explore the use of "big data” algorithms for harvesting, organizing and learning from large-scale medical imaging data sets and for general-purpose automatic understanding of medical images. The BAMBI workshop aims to highlight the potential of using Bayesian or random field graphical models for advancing research in biomedical image analysis.
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