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Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 : 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part III / edited by Maxime Descoteaux, Lena Maier-Hein, Alfred Franz, Pierre Jannin, D. Louis Collins, Simon Duchesne.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Descoteaux, Maxime, Editor.
Maier-Hein, Lena., Editor.
Franz, Alfred, Editor.
Jannin, Pierre, Editor.
Collins, D. Louis, Editor.
Duchesne, Simon., Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 10435
Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 10435
Language:
English
Subjects (All):
Computer vision.
Artificial intelligence.
Computer science-Mathematics.
Mathematical statistics.
Pattern recognition systems.
Medical informatics.
Computer Vision.
Artificial Intelligence.
Probability and Statistics in Computer Science.
Automated Pattern Recognition.
Health Informatics.
Local Subjects:
Computer Vision.
Artificial Intelligence.
Probability and Statistics in Computer Science.
Automated Pattern Recognition.
Health Informatics.
Physical Description:
1 online resource (XXVI, 713 pages) : 2051 illustrations, 341 illustrations in color.
Edition:
1st ed. 2017.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2017.
System Details:
text file PDF
Summary:
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 inQuebec 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.
Other Format:
Printed edition:
ISBN:
978-3-319-66179-7
9783319661797
Access Restriction:
Restricted for use by site license.

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