Medical Image Computing and Computer Assisted Intervention − MICCAI 2017

20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part I

Nonfiction, Computers, Advanced Computing, Engineering, Optical Data Processing, Application Software, Computer Graphics, General Computing
Cover of the book Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319661827
Publisher: Springer International Publishing Publication: September 3, 2017
Imprint: Springer Language: English
Author:
ISBN: 9783319661827
Publisher: Springer International Publishing
Publication: September 3, 2017
Imprint: Springer
Language: English

The three-volume set LNCS 10433, 10434, and 10435 constitutes the refereed proceedings of the 20th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017, held in

Quebec City, Canada, in September 2017.

The 255 revised full papers presented were carefully reviewed and selected from 800 submissions in a two-phase review process. The papers have been organized in the following topical sections: Part I: atlas and surface-based techniques; shape and patch-based techniques; registration techniques, functional imaging, connectivity, and brain parcellation; diffusion magnetic resonance imaging (dMRI) and tensor/fiber processing; and image segmentation and modelling. Part II: optical imaging; airway and vessel analysis; motion and cardiac analysis; tumor processing; planning and simulation for medical interventions; interventional imaging and navigation; and medical image computing. Part III: feature

extraction and classification techniques; and machine learning in medical image computing.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

The three-volume set LNCS 10433, 10434, and 10435 constitutes the refereed proceedings of the 20th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017, held in

Quebec City, Canada, in September 2017.

The 255 revised full papers presented were carefully reviewed and selected from 800 submissions in a two-phase review process. The papers have been organized in the following topical sections: Part I: atlas and surface-based techniques; shape and patch-based techniques; registration techniques, functional imaging, connectivity, and brain parcellation; diffusion magnetic resonance imaging (dMRI) and tensor/fiber processing; and image segmentation and modelling. Part II: optical imaging; airway and vessel analysis; motion and cardiac analysis; tumor processing; planning and simulation for medical interventions; interventional imaging and navigation; and medical image computing. Part III: feature

extraction and classification techniques; and machine learning in medical image computing.

More books from Springer International Publishing

Cover of the book Advances in Data Mining. Applications and Theoretical Aspects by
Cover of the book Modelling and Simulation in Management Sciences by
Cover of the book Learning and Intelligent Optimization by
Cover of the book State Space Consistency and Differentiability by
Cover of the book The Pedagogy of the Social Sciences Curriculum by
Cover of the book Biomass and Biofuels from Microalgae by
Cover of the book The Semantic Web: ESWC 2018 Satellite Events by
Cover of the book Biologically Inspired Cognitive Architectures (BICA) for Young Scientists by
Cover of the book Solar Photovoltaics by
Cover of the book Big Law in Latin America and Spain by
Cover of the book Promoting Information in the Marketplace for Financial Services by
Cover of the book Celebrating Soil by
Cover of the book Sexual Abuse in Sport by
Cover of the book Risk - A Multidisciplinary Introduction by
Cover of the book Advances in Artificial Intelligence: From Theory to Practice by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy