04568nam 22006975 450 99646644510331620200701111645.03-030-13736-810.1007/978-3-030-13736-6(CKB)4100000007810231(DE-He213)978-3-030-13736-6(MiAaPQ)EBC5924089(PPN)235231762(EXLCZ)99410000000781023120190313d2019 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierComputational Methods and Clinical Applications for Spine Imaging[electronic resource] 5th International Workshop and Challenge, CSI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers /edited by Guoyan Zheng, Daniel Belavy, Yunliang Cai, Shuo Li1st ed. 2019.Cham :Springer International Publishing :Imprint: Springer,2019.1 online resource (X, 181 p. 103 illus., 77 illus. in color.) Image Processing, Computer Vision, Pattern Recognition, and Graphics ;113973-030-13735-X Spinal 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.This 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. .Image Processing, Computer Vision, Pattern Recognition, and Graphics ;11397Optical data processingHealth informaticsComputer communication systemsArtificial intelligenceComputer hardwareImage Processing and Computer Visionhttps://scigraph.springernature.com/ontologies/product-market-codes/I22021Health Informaticshttps://scigraph.springernature.com/ontologies/product-market-codes/I23060Computer Communication Networkshttps://scigraph.springernature.com/ontologies/product-market-codes/I13022Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Computer Hardwarehttps://scigraph.springernature.com/ontologies/product-market-codes/I1200XOptical data processing.Health informatics.Computer communication systems.Artificial intelligence.Computer hardware.Image Processing and Computer Vision.Health Informatics.Computer Communication Networks.Artificial Intelligence.Computer Hardware.616.730754Zheng Guoyanedthttp://id.loc.gov/vocabulary/relators/edtBelavy Danieledthttp://id.loc.gov/vocabulary/relators/edtCai Yunliangedthttp://id.loc.gov/vocabulary/relators/edtLi Shuoedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK996466445103316Computational Methods and Clinical Applications for Spine Imaging1959956UNISA