9783319611877-3319611879-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)

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)

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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. With an overall rating of 3.5 stars, it's a notable title among other AI & Machine Learning (Data Processing, Databases & Big Data, Graphics & Design, Graphics & Multimedia, Programming, Software Design, Testing & Engineering, Mathematical & Statistical, Software, Computer Science) books. You can easily purchase or rent 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) (Paperback) from BooksRun, along with many other new and used AI & Machine Learning books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

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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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