LEADER 05099nam 22006615 450 001 996465480803316 005 20200731150142.0 010 $a3-319-74113-6 024 7 $a10.1007/978-3-319-74113-0 035 $a(CKB)4100000001794903 035 $a(DE-He213)978-3-319-74113-0 035 $a(MiAaPQ)EBC6301403 035 $a(MiAaPQ)EBC5578143 035 $a(Au-PeEL)EBL5578143 035 $a(OCoLC)1020792500 035 $z(PPN)258846887 035 $a(PPN)223955396 035 $a(EXLCZ)994100000001794903 100 $a20180109d2018 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputational Methods and Clinical Applications in Musculoskeletal Imaging$b[electronic resource] $e5th International Workshop, MSKI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Revised Selected Papers /$fedited by Ben Glocker, Jianhua Yao, Toma? Vrtovec, Alejandro Frangi, Guoyan Zheng 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (XII, 161 p. 71 illus.) 225 1 $aComputer Communication Networks and Telecommunications ;$v10734 311 $a3-319-74112-8 327 $aLocalization of Bone Surfaces from Ultrasound Data Using Local Phase Information and Signal Transmission Maps -- Shape-aware Deep Convolutional Neural Network for Vertebrae Segmentation -- Automated Characterization of Body Composition and Frailty with Clinically Acquired CT -- Unfolded cylindrical projection for rib fracture diagnosis -- 3D Cobb Angle Measurements from Scoliotic Mesh Models with Varying Face-Vertex Density -- Automatic Localization of the Lumbar Vertebral Landmarks in CT Images with Context Features -- Joint Multimodal Segmentation of Clinical CT and MR from Hip Arthroplasty Patients -- Reconstruction of 3D muscle fiber structure using high resolution cryosectioned volume -- Segmentation of Pathological Spines in CT Images Using a Two-Way CNN and a Collision-Based Model -- Attention-driven deep learning for pathological spine segmentation -- Automatic Full Femur Segmentation from Computed Tomography Datasets using an Atlas-Based Approach -- Classification of Osteoporotic Vertebral Fractures using Shape and Appearance Modelling -- DSMS-FCN: A Deeply Supervised Multi-Scale Fully Convolutional Network for Automatic Segmentation of Intervertebral Disc in 3D MR Images. 330 $aThis book constitutes the refereed proceedings of the 5th International Workshop and Challenge on Computational Methods and Clinical Applications for Musculoskeletal Imaging, MSKI 2017, held in conjunction with MICCAI 2017, in Quebec City, QC, Canada, in September 2017. The 13 workshop papers were carefully reviewed and selected for inclusion in this volume. Topics of interest include all major aspects of musculoskeletal imaging, for example: clinical applications of musculoskeletal computational imaging; computer-aided detection and diagnosis of conditions of the bones, muscles and joints; image-guided musculoskeletal surgery and interventions; image-based assessment and monitoring of surgical and pharmacological treatment; segmentation, registration, detection, localization and visualization of the musculoskeletal anatomy; statistical and geometrical modeling of the musculoskeletal shape and appearance; image-based microstructural characterization of musculoskeletal tissue; novel techniques for musculoskeletal imaging. 410 0$aComputer Communication Networks and Telecommunications ;$v10734 606 $aOptical data processing 606 $aArtificial intelligence 606 $aComputer communication systems 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aComputer Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13022 615 0$aOptical data processing. 615 0$aArtificial intelligence. 615 0$aComputer communication systems. 615 14$aImage Processing and Computer Vision. 615 24$aArtificial Intelligence. 615 24$aComputer Communication Networks. 676 $a616.70754 702 $aGlocker$b Ben$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aYao$b Jianhua$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aVrtovec$b Toma?$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aFrangi$b Alejandro$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZheng$b Guoyan$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996465480803316 996 $aComputational Methods and Clinical Applications in Musculoskeletal Imaging$92174073 997 $aUNISA