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Spectral and shape analysis in medical imaging : first International Workshop, SeSAMI 2016, held in conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Revised selected papers / Martin Reuter, Christian Wachinger, Hervé Lombaert (eds.).

By: Contributor(s): Material type: TextTextSeries: Lecture notes in computer science ; 10126. | LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics.Publisher: Cham, Switzerland : Springer, 2016Description: 1 online resource (viii, 133 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783319512372
  • 3319512374
  • 3319512366
  • 9783319512365
Other title:
  • SeSAMI 2016
Subject(s): Genre/Form: Additional physical formats: Printed edition:: No titleDDC classification:
  • 616.07/54 23
LOC classification:
  • RC78.7.D53
Online resources:
Contents:
Spectral methods -- Longitudinal methods -- Shape methods.
Summary: This book constitutes the refereed post-conference proceedings of the First International Workshop on Spectral and Shape Analysis in Medical Imaging, SeSAMI 2016, held in conjunction with MICCAI 2016, in Athens, Greece, in October 2016. The 10 submitted full papers presented in this volume were carefully reviewed. The papers reflect the following topics: spectral methods; longitudinal methods; and shape methods.
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
eBook eBook e-Library eBook LNCS Available
Total holds: 0

Includes author index.

Online resource; title from PDF title page (SpringerLink, viewed January 13, 2017).

Spectral methods -- Longitudinal methods -- Shape methods.

This book constitutes the refereed post-conference proceedings of the First International Workshop on Spectral and Shape Analysis in Medical Imaging, SeSAMI 2016, held in conjunction with MICCAI 2016, in Athens, Greece, in October 2016. The 10 submitted full papers presented in this volume were carefully reviewed. The papers reflect the following topics: spectral methods; longitudinal methods; and shape methods.

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