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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 (Paperback, 1st ed. 2016) Loot Price: R1,830
Discovery Miles 18 300
Spectral and Shape Analysis in Medical Imaging - First International Workshop, SeSAMI 2016, Held in Conjunction with MICCAI...

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 (Paperback, 1st ed. 2016)

Martin Reuter, Christian Wachinger, Herve Lombaert

Series: Image Processing, Computer Vision, Pattern Recognition, and Graphics, 10126

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Loot Price R1,830 Discovery Miles 18 300 | Repayment Terms: R171 pm x 12*

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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.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Image Processing, Computer Vision, Pattern Recognition, and Graphics, 10126
Release date: December 2016
First published: 2016
Editors: Martin Reuter • Christian Wachinger • Herve Lombaert
Dimensions: 235 x 155 x 8mm (L x W x T)
Format: Paperback
Pages: 133
Edition: 1st ed. 2016
ISBN-13: 978-3-319-51236-5
Categories: Books > Computing & IT > Applications of computing > Pattern recognition
Books > Computing & IT > Social & legal aspects of computing > Health & safety aspects of computing
Books > Computing & IT > Applications of computing > Databases > Data mining
Books > Computing & IT > Applications of computing > Artificial intelligence > General
Books > Computing & IT > Applications of computing > Image processing > General
LSN: 3-319-51236-6
Barcode: 9783319512365

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