Name: Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging: Miccai 2016 International Workshops, MCV and Bambi, Athens, Greece, (en Inglés)
Price: 65.55 USD
Availability: InStock
Author: Müller, Henning ; Kelm, B. Michael ; Arbel, Tal
ISBN: 9783319611877

portada Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging: Miccai 2016 International Workshops, MCV and Bambi, Athens, Greece, (en Inglés)

Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging: Miccai 2016 International Workshops, MCV and Bambi, Athens, Greece, (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Müller, Henning ; Kelm, B. Michael ; Arbel, Tal

Idioma

Inglés

N° páginas

222

Encuadernación

Tapa Blanda

Dimensiones

23.4 x 15.6 x 1.3 cm

Peso

0.34 kg.

ISBN13

9783319611877

Categorías

Bioinformática médica
Aplicaciones gráficas y multimedia
Reconocimiento de formas
Visión por ordenador

Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging: Miccai 2016 International Workshops, MCV and Bambi, Athens, Greece, (en Inglés)

Müller, Henning ; Kelm, B. Michael ; Arbel, Tal (Autor) · Springer · Tapa Blanda

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Reseña del libro "Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging: Miccai 2016 International Workshops, MCV and Bambi, Athens, Greece, (en Inglés)"

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.