CHF 70.00

Bio-Imaging and Visualization for Patient-Customized Simulations

Inglese · Copertina rigida

Spedizione di solito entro 6 a 7 settimane

Descrizione

Ulteriori informazioni

This book contains the full papers presented at the MICCAI 2013 workshop Bio-Imaging and Visualization for Patient-Customized Simulations (MWBIVPCS 2013). MWBIVPCS 2013 brought together researchers representing several fields, such as Biomechanics, Engineering, Medicine, Mathematics, Physics and Statistic.
The contributions included in this book present and discuss new trends in those fields, using several methods and techniques, including the finite element method, similarity metrics, optimization processes, graphs, hidden Markov models, sensor calibration, fuzzy logic, data mining, cellular automation, active shape models, template matching and level sets. These serve as tools to address more efficiently different and timely applications involving signal and image acquisition, image processing and analysis, image segmentation, image registration and fusion, computer simulation, image based modelling, simulation and surgical planning, image guided robot assisted surgical and image based diagnosis.
This book will appeal to researchers, PhD students and graduate students with multidisciplinary interests related to the areas of medical imaging, image processing and analysis, computer vision, image segmentation, image registration and fusion, scientific data visualization and image based modeling and simulation.

Riassunto

This book contains the full papers presented at the MICCAI 2013 workshop Bio-Imaging and Visualization for Patient-Customized Simulations (MWBIVPCS 2013). MWBIVPCS 2013 brought together researchers representing several fields, such as Biomechanics, Engineering, Medicine, Mathematics, Physics and Statistic.
The contributions included in this book present and discuss new trends in those fields, using several methods and techniques, including the finite element method, similarity metrics, optimization processes, graphs, hidden Markov models, sensor calibration, fuzzy logic, data mining, cellular automation, active shape models, template matching and level sets. These serve as tools to address more efficiently different and timely applications involving signal and image acquisition, image processing and analysis, image segmentation, image registration and fusion, computer simulation, image based modelling, simulation and surgical planning, image guided robot assisted surgical and image based diagnosis.
This book will appeal to researchers, PhD students and graduate students with multidisciplinary interests related to the areas of medical imaging, image processing and analysis, computer vision, image segmentation, image registration and fusion, scientific data visualization and image based modeling and simulation.

Dettagli sul prodotto

Con la collaborazione di João Manuel R. S. Tavares (Editore), Xiongbiao Luo (Editore), Shuo Li (Editore), Xiongbia Luo (Editore)
Editore Springer, Berlin
 
Contenuto Libro
Forma del prodotto Copertina rigida
Data pubblicazione 04.11.2013
Categoria Scienze naturali, medicina, informatica, tecnica > Tecnica > Altro
 
EAN 9783319035895
ISBN 978-3-31-903589-5
Numero di pagine 137
Illustrazioni XIV, 137 p. 71 illus.
Dimensioni (della confezione) 16.2 x 1.4 x 23.9 cm
Peso (della confezione) 344 g
 
Serie Lecture Notes in Computational Vision and Biomechanics > 13
Lecture Notes in Computational Vision and Biomechanics
Categorie C, Medicine, Medical research, Mathematics, engineering, Computer Vision, Computer Imaging, Vision, Pattern Recognition and Graphics, Mathematics, general, Biomedicine, general, Biomedical Research, Optical data processing, Biomedical Engineering and Bioengineering, Biomedical engineering
 

Recensioni dei clienti

Per questo articolo non c'è ancora nessuna recensione. Scrivi la prima recensione e aiuta gli altri utenti a scegliere.

Scrivi una recensione

Top o flop? Scrivi la tua recensione.

Per i messaggi a CeDe.ch si prega di utilizzare il modulo di contatto.

I campi contrassegnati da * sono obbligatori.

Inviando questo modulo si accetta la nostra dichiarazione protezione dati.