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Computational methods and clinical applications for spine imaging = 4th international workshop and Challenge, CSI 2016, held in conjunction with MICCAI 2016, Athens, Greece, October 17, 2016 : revised selected papers /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Computational methods and clinical applications for spine imaging/ edited by Jianhua Yao ... [et al.].
Reminder of title:	4th international workshop and Challenge, CSI 2016, held in conjunction with MICCAI 2016, Athens, Greece, October 17, 2016 : revised selected papers /
remainder title:	CSI 2016
other author:	Yao, Jianhua.
corporate name:	Workshop on the Preservation of Stability under Discretization
Published:	Cham :Springer International Publishing : : 2016.,
Description:	x, 147 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Spine - Atlases. - Imaging -
Online resource:	http://dx.doi.org/10.1007/978-3-319-55050-3
ISBN:	9783319550503

Computational methods and clinical applications for spine imaging = 4th international workshop and Challenge, CSI 2016, held in conjunction with MICCAI 2016, Athens, Greece, October 17, 2016 : revised selected papers /
Computational methods and clinical applications for spine imaging4th international workshop and Challenge, CSI 2016, held in conjunction with MICCAI 2016, Athens, Greece, October 17, 2016 : revised selected papers /[electronic resource] :CSI 2016edited by Jianhua Yao ... [et al.]. - Cham :Springer International Publishing :2016. - x, 147 p. :ill., digital ;24 cm. - Lecture notes in computer science,101820302-9743 ;. - Lecture notes in computer science ;6140..

State-of-the-art techniques -- Novel and emerging analysis and visualization techniques -- Clinical challenges and open problems -- 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.

This book constitutes the refereed proceedings of the 4th International Workshop and Challenge on Computational Methods and Clinical Applications for Spine Imaging, CSI 2016, held in conjunction with MICCAI 2016, in Athens, Greece, in October 2016. 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.

ISBN: 9783319550503

Standard No.: 10.1007/978-3-319-55050-3doiSubjects--Topical Terms:

1022740
Spine
--Imaging--Atlases.

LC Class. No.: RD768 / .C647 2016

Dewey Class. No.: 616.730754

Computational methods and clinical applications for spine imaging = 4th international workshop and Challenge, CSI 2016, held in conjunction with MICCAI 2016, Athens, Greece, October 17, 2016 : revised selected papers /
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