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171005 ||| eng |
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|a 9783319661797
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|a Descoteaux, Maxime
|e [editor]
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| 245 |
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|a Medical Image Computing and Computer Assisted Intervention − MICCAI 2017
|h Elektronische Ressource
|b 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part III
|c edited by Maxime Descoteaux, Lena Maier-Hein, Alfred Franz, Pierre Jannin, D. Louis Collins, Simon Duchesne
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| 250 |
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|a 1st ed. 2017
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| 260 |
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|a Cham
|b Springer International Publishing
|c 2017, 2017
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| 300 |
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|a XXVI, 713 p. 2051 illus., 341 illus. in color
|b online resource
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| 653 |
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|a Mathematical statistics
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| 653 |
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|a Health Informatics
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| 653 |
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|a Computer science / Mathematics
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| 653 |
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|a Computer vision
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| 653 |
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|a Probability and Statistics in Computer Science
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| 653 |
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|a Medical informatics
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| 653 |
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|a Artificial Intelligence
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| 653 |
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|a Computer Vision
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| 653 |
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|a Artificial intelligence
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| 653 |
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|a Automated Pattern Recognition
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| 653 |
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|a Pattern recognition systems
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| 700 |
1 |
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|a Maier-Hein, Lena
|e [editor]
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| 700 |
1 |
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|a Franz, Alfred
|e [editor]
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| 700 |
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|a Jannin, Pierre
|e [editor]
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
0 |
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|a Image Processing, Computer Vision, Pattern Recognition, and Graphics
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| 028 |
5 |
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|a 10.1007/978-3-319-66179-7
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| 856 |
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|u https://doi.org/10.1007/978-3-319-66179-7?nosfx=y
|x Verlag
|3 Volltext
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|a 006.37
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| 520 |
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|a 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
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