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Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014 [electronic resource] : 17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings, Part III / edited by Polina Golland, Nobuhiko Hata, Christian Barillot, Joachim Hornegger, Robert Howe.

By: Contributor(s): Material type: TextTextSeries: Lecture Notes in Computer Science ; 8675Publisher: Cham : Springer International Publishing : Imprint: Springer, 2014Description: XXIV, 436 p. 156 illus. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783319104430
Subject(s): Additional physical formats: Printed edition:: No titleDDC classification:
  • 006.6 23
  • 006.37 23
LOC classification:
  • TA1637-1638
  • TA1637-1638
Online resources:
Contents:
Shape and population analysis -- Brain -- Diffusion MRI -- Machine learning.
In: Springer eBooksSummary: The three-volume set LNCS 8673, 8674, and 8675 constitutes the refereed proceedings of the 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014, held in Boston, MA, USA, in September 2014. Based on rigorous peer reviews, the program committee carefully selected 253 revised papers from 862 submissions for presentation in three volumes. The 53 papers included in the third volume have been organized in the following topical sections: shape and population analysis; brain; diffusion MRI; and machine learning.
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Shape and population analysis -- Brain -- Diffusion MRI -- Machine learning.

The three-volume set LNCS 8673, 8674, and 8675 constitutes the refereed proceedings of the 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014, held in Boston, MA, USA, in September 2014. Based on rigorous peer reviews, the program committee carefully selected 253 revised papers from 862 submissions for presentation in three volumes. The 53 papers included in the third volume have been organized in the following topical sections: shape and population analysis; brain; diffusion MRI; and machine learning.

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