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Spectral and Shape Analysis in Medical Imaging [electronic resource] : First International Workshop, SeSAMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Revised Selected Papers / edited by Martin Reuter, Christian Wachinger, Hervé Lombaert.

Contributor(s): Reuter, Martin [editor.] | Wachinger, Christian [editor.] | Lombaert, Hervé [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Image Processing, Computer Vision, Pattern Recognition, and Graphics: 10126Publisher: Cham : Springer International Publishing : Imprint: Springer, 2016Edition: 1st ed. 2016.Description: VIII, 133 p. 45 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319512372.Subject(s): Computer vision | Medical informatics | Artificial intelligence | Pattern recognition systems | Data mining | Computer Vision | Health Informatics | Artificial Intelligence | Automated Pattern Recognition | Data Mining and Knowledge DiscoveryAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.37 Online resources: Click here to access online
Contents:
Spectral methods -- Longitudinal methods -- Shape methods.
In: Springer Nature eBookSummary: 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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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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