bokomslag Reconstruction, Segmentation, and Analysis of Medical Images
Data & IT

Reconstruction, Segmentation, and Analysis of Medical Images

Maria A Zuluaga Kanwal Bhatia Bernhard Kainz Mehdi H Moghari Danielle F Pace

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  • 174 sidor
  • 2017
This book constitutes the refereed proceedings of two workshops held at the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, in Athens, Greece, in October 2016: the First International Workshop on Reconstruction and Analysis of Moving Body Organs, RAMBO 2016, and the First International Workshop on Whole-Heart and Great Vessel Segmentation from 3D Cardiovascular MRI in Congenital Heart Disease, HVSMR 2016. The 17 revised regular papers presented in this book were carefully reviewed and selected from a total of 21 submissions. The papers cover following topics: Registration; Reconstruction; Deep learning for heart segmentation; Discrete optimization and probabilistic intensity modeling; Atlas-based strategies; Random forests.
  • Författare: Maria A Zuluaga, Kanwal Bhatia, Bernhard Kainz, Mehdi H Moghari, Danielle F Pace
  • Illustratör: Bibliographie
  • Format: Pocket/Paperback
  • ISBN: 9783319522791
  • Språk: Engelska
  • Antal sidor: 174
  • Utgivningsdatum: 2017-01-19
  • Förlag: Springer International Publishing AG