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Computational Methods and Clinical Applications for Spine Imaging

53,49 €*

Sofort verfügbar, Lieferzeit: 1-3 Tage

Produktnummer: 18bae72cf65d6a47c08d5c16861a5b37ab
Themengebiete: 2D/3D registration 3D reconstruction biomedical engineering classification computer-aided diagnosis computer vision convulutional neural networks image analysis localization visualization techniques
Veröffentlichungsdatum: 01.03.2017
EAN: 9783319550497
Sprache: Englisch
Seitenzahl: 147
Produktart: Kartoniert / Broschiert
Herausgeber: Frangi, Alejandro Glocker, Ben Li, Shuo Vrtovec, Tomaž Yao, Jianhua Zheng, Guoyan
Verlag: Springer International Publishing
Untertitel: 4th International Workshop and Challenge, CSI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers
Produktinformationen "Computational Methods and Clinical Applications for Spine Imaging"
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.

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