Medical Image Computing and Computer-Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part II

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.

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.

Product details

• Assisted by: D. Louis Collins (Editor), Maxime Descoteaux (Editor), Simon Duchesne (Editor), Alfred Franz (Editor), Alfred Franz et al (Editor), Pierre Jannin (Editor), Len Maier-Hein (Editor), Lena Maier-Hein (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 30.11.2017
• EAN: 9783319661841
• ISBN: 978-3-31-966184-1
• No. of pages: 785
• Dimensions: 176 mm x 241 mm x 45 mm
• Weight: 1252 g
• Illustrations: XXVIII, 785 p. 319 illus.
• Series: Lecture Notes in Computer Science; Image Processing, Computer Vision, Pattern Recognition, and Graphics; Lecture Notes in Computer Science; Image Processing, Computer Vision, Pattern Recognition, and Graphics
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > Application software; C, Künstliche Intelligenz, Artificial Intelligence, reconstruction, Mustererkennung, Wahrscheinlichkeitsrechnung und Statistik, Mathematik für Informatiker, Computeranwendungen in Industrie und Technologie, computer science, Computer Vision, Health Informatics, Image Processing and Computer Vision, pattern recognition, Signal Processing, Mathematical & statistical software, Automated Pattern Recognition, Health & safety aspects of IT, Maths for computer scientists, Mathematical statistics, Probability and Statistics in Computer Science, Optical data processing, Probability and statistics, Computer applications in industry and technology, Support Vector Machines (SVM), segmentation methods