Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging: MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, . Papers (Lecture Notes in Computer Science)

Henning M�ller, B. Michael Kelm, Tal Arbel, Weidong Cai, M. Jorge Cardoso, Georg Langs, Bjoern Menze, Dimitris Metaxas, Albert Montillo

ISBN 10: 3319611879 / ISBN 13: 9783319611877

Editore: Springer 2017-07-04, 2017

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Codice articolo 6666-IUK-9783319611877

Dati bibliografici

• Titolo: Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging: MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, . Papers (Lecture Notes in Computer Science)
• Editore: Springer 2017-07-04
• Data di pubblicazione: 2017
• Lingua: Inglese
• ISBN 10: 3319611879
• ISBN 13: 9783319611877
• Rilegatura: Paperback
• Condizione: New

Descrizione articolo

Riassunto

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.