Medical computer vision and Bayesian and graphical models for biomedical imaging : MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised selected papers / Henning Müller, B. Michael Kelm, Tal Arbel, Weidong Cai, M. Jorge Cardoso, Georg Langs, Bjoern Menze, Dimitris Metaxas, Albert Montillo, William M. Wells III, Shaoting Zhang, Albert C.S. Chung, Mark Jenkinson, Annemie Ribbens (eds.)

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 conjunct...

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Online Access: Full Text (via Springer)
Corporate Authors: MCV (Workshop) Athens, Greece), BAMBI (Workshop) (jointly held conference.), International Conference on Medical Image Computing and Computer-Assisted Intervention (jointly held conference.)
Other Authors: Müller, Henning (Medical scientist) (Editor), Kelm, B. Michael (Editor), Arbel, Tal (Editor), Cai, Weidong (Editor), Cardoso, M. Jorge (Editor), Langs, Georg (Editor), Menze, Bjoern (Editor), Metaxas, Dimitris N., 1962- (Editor), Montillo, Albert (Editor), Wells, William M. (Editor), Zhang, Shaoting (Editor), Chung, Albert C. S. (Editor), Jenkinson, Mark (Editor), Ribbens, Annemie (Editor)
Format: Conference Proceeding eBook
Language:English
Published: Cham, Switzerland : Springer, 2017.
Series:Lecture notes in computer science ; 10081.
LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics.
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Summary: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.
Item Description:Includes author index.
Physical Description:1 online resource (xiii, 222 pages) : illustrations.
Bibliography:Includes bibliographical references and author index.
ISBN:9783319611884
3319611887
3319611879
9783319611877
ISSN:0302-9743 ;
Source of Description, Etc. Note:Online resource; title from PDF title page (SpringerLink, viewed July 6, 2017)