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245 1 0 _aComputational Methods and Clinical Applications for Spine Imaging
_h[electronic resource] :
_b5th International Workshop and Challenge, CSI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers /
_cedited by Guoyan Zheng, Daniel Belavy, Yunliang Cai, Shuo Li.
250 _a1st ed. 2019.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2019.
300 _aX, 181 p. 103 illus., 77 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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490 1 _aImage Processing, Computer Vision, Pattern Recognition, and Graphics,
_x3004-9954 ;
_v11397
505 0 _aSpinal Cord Gray Matter-White Matter Segmentation on Magnetic Resonance AMIRA Images with MD-GRU -- Predicting Scoliosis in DXA Scans Using Intermediate Representations -- Fast Registration of CT with Intra-operative Ultrasound Images for Spine Surgery -- Automated Grading of Modic Changes Using CNNs - Improving the Performance with Mix-up -- Error Estimation for Appearance Model Segmentation of Musculoskeletal Structures Using Multiple, Independent Sub-models -- Automated Segmentation of Intervertebral Disc using Fully Dilated Separable Deep Neural Networks -- Intensity Standardization of Skeleton in Follow-up Whole-Body MRI -- Towards a Deformable Multi-Surface Approach to Ligamentous Spine Models for Predictive Simulation-Based Scoliosis Surgery Planning -- Intervertebral Disc Segmentation Using Mathematical Morphology-A CNN-Free Approach.
520 _aThis book constitutes the refereed proceedings of the 5th International Workshop and Challenge on Computational Methods and Clinical Applications for Spine Imaging, CSI 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018. The 8 full papers presented together with 8 short papers and 1 keynote were carefully reviewed and selected for inclusion in this volume. Papers on novel methodology and clinical research, and also papers which demonstrate the performance of methods on the provided challenges, the aim is to cover both theoretical and very practical aspects of computerized spinal imaging. .
650 0 _aComputer vision.
_9110215
650 0 _aMedical informatics.
_94729
650 0 _aComputer networks .
_931572
650 0 _aArtificial intelligence.
_93407
650 0 _aComputers.
_98172
650 1 4 _aComputer Vision.
_9110216
650 2 4 _aHealth Informatics.
_931799
650 2 4 _aComputer Communication Networks.
_9110217
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aComputer Hardware.
_933420
700 1 _aZheng, Guoyan.
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700 1 _aBelavy, Daniel.
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700 1 _aCai, Yunliang.
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_9110220
700 1 _aLi, Shuo.
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_9110221
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773 0 _tSpringer Nature eBook
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/10.1007/978-3-030-13736-6
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