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Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging

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Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging Synopsis

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.

About This Edition

ISBN: 9783319611877
Publication date: 4th July 2017
Author: Henning Müller
Publisher: Springer International Publishing AG
Format: Paperback
Pagination: 222 pages
Series: Image Processing, Computer Vision, Pattern Recognition, and Graphics
Genres: Computer vision
Computer applications in industry and technology
Artificial intelligence
Maths for computer scientists
Probability and statistics
Mathematical theory of computation
Pattern recognition