Ebook: 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
Author: Arbel Tal, Cai Weidong, Cardoso M. Jorge, Chung Albert C.S, Jenkinson Mark, Kelm B. Michael, Langs Georg, Menze Bjoern, Metaxas Dimitris, Montillo Albert, Müller Henning, Ribbens Annemie, Wells III William M., Zhang Shaoting
- Tags: Computer science, Informatique, Health informatics, Mathematical statistics, Computer science -- Mathematics, Informatique -- Mathématiques, Artificial intelligence, Intelligence artificielle, Image processing, Traitement d’images, Pattern recognition, Medical informatics, Pattern perception
- Series: Lecture Notes in Computer Science 10081
- Year: 2017
- Publisher: Springer International Publishing
- Language: English
- pdf
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.Read more...
Abstract: 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