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020 _a9783319550503
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024 7 _a10.1007/978-3-319-55050-3
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082 0 4 _a006.37
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245 1 0 _aComputational Methods and Clinical Applications for Spine Imaging
_h[electronic resource] :
_b4th International Workshop and Challenge, CSI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers /
_cedited by Jianhua Yao, Tomaž Vrtovec, Guoyan Zheng, Alejandro Frangi, Ben Glocker, Shuo Li.
250 _a1st ed. 2016.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aX, 147 p. 60 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
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347 _atext file
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490 1 _aImage Processing, Computer Vision, Pattern Recognition, and Graphics,
_x3004-9954 ;
_v10182
505 0 _aState-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.
520 _aThis 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.
650 0 _aComputer vision.
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650 0 _aPattern recognition systems.
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650 0 _aComputer graphics.
_94088
650 0 _aArtificial intelligence.
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650 0 _aComputer simulation.
_95106
650 0 _aAlgorithms.
_93390
650 1 4 _aComputer Vision.
_9175769
650 2 4 _aAutomated Pattern Recognition.
_931568
650 2 4 _aComputer Graphics.
_94088
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aComputer Modelling.
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650 2 4 _aAlgorithms.
_93390
700 1 _aYao, Jianhua.
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700 1 _aVrtovec, Tomaž.
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700 1 _aZheng, Guoyan.
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700 1 _aFrangi, Alejandro.
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700 1 _aGlocker, Ben.
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700 1 _aLi, Shuo.
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776 0 8 _iPrinted edition:
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830 0 _aImage Processing, Computer Vision, Pattern Recognition, and Graphics,
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856 4 0 _uhttps://doi.org/10.1007/978-3-319-55050-3
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