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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, Herv�e Lombaert.

Contributor(s): Reuter, Martin [editor.] | Wachinger, Christian [editor.] | Lombaert, Herv�e [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science: 10126Publisher: Cham : Springer International Publishing : Imprint: Springer, 2016Description: VIII, 133 p. 45 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319512372.Subject(s): Computer science | Health informatics | Data mining | Artificial intelligence | Image processing | Pattern recognition | Computer Science | Image Processing and Computer Vision | Health Informatics | Artificial Intelligence (incl. Robotics) | Pattern Recognition | Data Mining and Knowledge DiscoveryAdditional physical formats: Printed edition:: No titleDDC classification: 006.6 | 006.37 Online resources: Click here to access online
Contents:
Spectral methods -- Longitudinal methods -- Shape methods.
In: Springer eBooksSummary: 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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