Image Processing, Computer Vision, Pattern Recognition, and Graphics

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016

19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part II

Editors: Ourselin, S., Joskowicz, L., Sabuncu, M.R., Unal, G., Wells, W. (Eds.)

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  • ISBN 978-3-319-46723-8
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Softcover $119.99
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  • ISBN 978-3-319-46722-1
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About this book

The three-volume set LNCS 9900, 9901, and 9902 constitutes the refereed proceedings of the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, held in Athens, Greece, in October 2016. Based on rigorous peer reviews, the program committee carefully selected 228 revised regular papers from 756 submissions for presentation in three volumes. The papers have been organized in the following topical sections: Part I: brain analysis, brain analysis - connectivity; brain analysis - cortical morphology; Alzheimer disease; surgical guidance and tracking; computer aided interventions; ultrasound image analysis; cancer image analysis; Part II: machine learning and feature selection; deep learning in medical imaging; applications of machine learning; segmentation; cell image analysis; Part III: registration and deformation estimation;  shape modeling; cardiac and vascular image analysis; image reconstruction; and MR image analysis.

Table of contents (49 chapters)

Table of contents (49 chapters)
  • Feature Selection Based on Iterative Canonical Correlation Analysis for Automatic Diagnosis of Parkinson’s Disease

    Liu, Luyan (et al.)

    Pages 1-8

  • Identifying Relationships in Functional and Structural Connectome Data Using a Hypergraph Learning Method

    Munsell, Brent C. (et al.)

    Pages 9-17

  • Ensemble Hierarchical High-Order Functional Connectivity Networks for MCI Classification

    Chen, Xiaobo (et al.)

    Pages 18-25

  • Outcome Prediction for Patient with High-Grade Gliomas from Brain Functional and Structural Networks

    Liu, Luyan (et al.)

    Pages 26-34

  • Mammographic Mass Segmentation with Online Learned Shape and Appearance Priors

    Jiang, Menglin (et al.)

    Pages 35-43

Buy this book

eBook $89.00
price for USA in USD (gross)
  • ISBN 978-3-319-46723-8
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $119.99
price for USA in USD
  • ISBN 978-3-319-46722-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016
Book Subtitle
19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part II
Editors
  • Sebastien Ourselin
  • Leo Joskowicz
  • Mert R. Sabuncu
  • Gozde Unal
  • William Wells
Series Title
Image Processing, Computer Vision, Pattern Recognition, and Graphics
Series Volume
9901
Copyright
2016
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG
eBook ISBN
978-3-319-46723-8
DOI
10.1007/978-3-319-46723-8
Softcover ISBN
978-3-319-46722-1
Edition Number
1
Number of Pages
XXV, 703
Number of Illustrations
238 b/w illustrations
Topics