Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part I

The three-volume set LNCS 9900, 9901, and 9902 constitutes the refereed proceedings of the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, held in Athens, Greece, in October 2016.
Based on rigorous peer reviews, the program committee carefully selected 228 revised regular papers from 756 submissions for presentation in three volumes. The papers have been organized in the following topical sections: Part I: brain analysis; brain analysis - connectivity; brain analysis - cortical morphology; Alzheimer disease; surgical guidance and tracking; computer aided interventions; ultrasound image analysis; cancer image analysis; Part II: machine learning and feature selection; deep learning in medical imaging; applications of machine learning; segmentation; cell image analysis; Part III: registration and deformation estimation; shape modeling; cardiac and vascular image analysis; image reconstruction; and MR image analysis.

List of contents

Brain analysis.- Brain analysis - connectivity.- Brain analysis - cortical morphology.- Alzheimer disease.- Surgical guidance and tracking.- Computer aided interventions.- Ultrasound image analysis.- cancer image analysis.

Summary

The three-volume set LNCS 9900, 9901, and 9902 constitutes the refereed proceedings of the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, held in Athens, Greece, in October 2016.
Based on rigorous peer reviews, the program committee carefully selected 228 revised regular papers from 756 submissions for presentation in three volumes. The papers have been organized in the following topical sections: Part I: brain analysis; brain analysis - connectivity; brain analysis - cortical morphology; Alzheimer disease; surgical guidance and tracking; computer aided interventions; ultrasound image analysis; cancer image analysis; Part II: machine learning and feature selection; deep learning in medical imaging; applications of machine learning; segmentation; cell image analysis; Part III: registration and deformation estimation; shape modeling; cardiac and vascular image analysis; image reconstruction; and MR image analysis.

Product details

• Assisted by: Le Joskowicz (Editor), Leo Joskowicz (Editor), Sebastien Ourselin (Editor), Mert R Sabuncu et al (Editor), Mert R. Sabuncu (Editor), Gozde Unal (Editor), William Wells (Editor), Williams Wells (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 01.01.2016
• EAN: 9783319467191
• ISBN: 978-3-31-946719-1
• No. of pages: 681
• Dimensions: 163 mm x 236 mm x 42 mm
• Weight: 1084 g
• Illustrations: XLIV, 681 p. 273 illus., 269 illus. in color.
• 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, Mustererkennung, Radiology, Bildgebende Verfahren, Grafikprogrammierung, Computeranwendungen in Industrie und Technologie, computer science, Support Vector Machines, Computer Vision, Visualization, Health Informatics, Image Processing and Computer Vision, Computer Graphics, pattern recognition, Imaging / Radiology, Automated Pattern Recognition, Information technology: general issues, Optical data processing, Medical imaging, Medical equipment & techniques, Graphics programming, statistical atlases, X-ray imaging