Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10182)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Conference series link(s): CSI: International Workshop and Challenge on Computational Methods and Clinical Applications for Spine Imaging
Conference proceedings info: CSI 2016.
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (13 papers)
-
Front Matter
-
Segmentation
-
Front Matter
-
-
Localization
-
Front Matter
-
-
Computer Aided Diagnosis and Intervention
-
Front Matter
-
-
Back Matter
About this book
The 13 workshop papers were carefully reviewed and selected for inclusion in this volume. They aim at reviewing the state-of-the-art techniques, sharing the novel and emerging analysis and visualization techniques and discussing the clinical challenges and open problems in this rapidly growing field - including all major aspects of problems related to spine imaging, including clinical applications of spine imaging, computer aided diagnosis of spine conditions, computer aided detection of spine-related diseases, emerging computational imaging techniques for spinal diseases, fast 3D reconstruction of spine, feature extraction, multiscale analysis, pattern recognition, image enhancement of spine imaging, image-guided spine intervention and treatment, multimodal image registration and fusion for spine imaging, novel visualization techniques, segmentation techniques for spine imaging, statistical and geometric modeling for spine and vertebra, spine and vertebra localization.
Keywords
- biomedical engineering
- computer vision
- computer-aided diagnosis
- image analysis
- visualization techniques
- 2D/3D registration
- 3D reconstruction
- classification
- convulutional neural networks
- localization
- machine learning
- multiple sclerosis
- quantitative medical imaging
- random forest
- segmentation
- spine imaging
- variational segmentation
- vertebrae analysis
- WMGM segmentation
- x-ray images
Editors and Affiliations
-
National Institutes of Health , Bethesda, USA
Jianhua Yao
-
University of Ljubljana , Ljubljana, Slovenia
Tomaž Vrtovec
-
University of Bern , Bern, Switzerland
Guoyan Zheng
-
University of Sheffield , Sheffield, United Kingdom
Alejandro Frangi
-
Imperial College London , London, United Kingdom
Ben Glocker
-
University of Western Ontario, London, Canada
Shuo Li
Bibliographic Information
Book Title: Computational Methods and Clinical Applications for Spine Imaging
Book Subtitle: 4th International Workshop and Challenge, CSI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers
Editors: Jianhua Yao, Tomaž Vrtovec, Guoyan Zheng, Alejandro Frangi, Ben Glocker, Shuo Li
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-55050-3
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2016
Softcover ISBN: 978-3-319-55049-7Published: 01 March 2017
eBook ISBN: 978-3-319-55050-3Published: 28 February 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: X, 147
Number of Illustrations: 60 b/w illustrations
Topics: Image Processing and Computer Vision, Pattern Recognition, Computer Graphics, Artificial Intelligence, Simulation and Modeling, Algorithm Analysis and Problem Complexity