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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

Über Medical Image Computing and Computer Assisted Intervention - MICCAI 2017

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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  • Sprache:
  • Englisch
  • ISBN:
  • 9783319661780
  • Einband:
  • Taschenbuch
  • Seitenzahl:
  • 713
  • Veröffentlicht:
  • 4. September 2017
  • Ausgabe:
  • 12017
  • Abmessungen:
  • 155x235x0 mm.
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Beschreibung von Medical Image Computing and Computer Assisted Intervention - MICCAI 2017

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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