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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 / edited by Martin Reuter, Christian Wachinger, Hervé Lombaert.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 10126
- Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 10126
- Language:
- English
- Subjects (All):
- Computer vision.
- Medical informatics.
- Artificial intelligence.
- Pattern recognition systems.
- Data mining.
- Computer Vision.
- Health Informatics.
- Artificial Intelligence.
- Automated Pattern Recognition.
- Data Mining and Knowledge Discovery.
- Local Subjects:
- Computer Vision.
- Health Informatics.
- Artificial Intelligence.
- Automated Pattern Recognition.
- Data Mining and Knowledge Discovery.
- Physical Description:
- 1 online resource (VIII, 133 pages) : 45 illustrations
- Edition:
- 1st ed. 2016.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2016.
- System Details:
- text file PDF
- 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.
- Contents:
- Spectral methods
- Longitudinal methods
- Shape methods.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-319-51237-2
- 9783319512372
- Access Restriction:
- Restricted for use by site license.
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