LEADER 05028nam 22007095 450 001 9910373927703321 005 20200701035544.0 010 $a3-030-39752-1 024 7 $a10.1007/978-3-030-39752-4 035 $a(CKB)4100000010121601 035 $a(DE-He213)978-3-030-39752-4 035 $a(MiAaPQ)EBC6114115 035 $a(PPN)242845118 035 $a(EXLCZ)994100000010121601 100 $a20200131d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputational Methods and Clinical Applications for Spine Imaging$b[electronic resource] $e6th International Workshop and Challenge, CSI 2019, Shenzhen, China, October 17, 2019, Proceedings /$fedited by Yunliang Cai, Liansheng Wang, Michel Audette, Guoyan Zheng, Shuo Li 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (XII, 120 p. 63 illus., 50 illus. in color.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v11963 311 $a3-030-39751-3 327 $aRegular Papers -- Detection of vertebral fractures in CT using 3D Convolutional Neural Networks -- Metastatic Vertebrae Segmentation for Use in a Clinical Pipeline -- Conditioned Variational Auto-Encoder for Detecting Osteoporotic Vertebral Fractures -- Vertebral Labelling in Radiographs: Learning a Coordinate Corrector to Enforce Spinal Shape -- Semi-supervised semantic segmentation of multiple lumbosacral structures on CT -- AASCE Challenge -- Accurate Automated Keypoint Detections for Spinal Curvature Estimation -- Seg4Reg Networks for Automated Spinal Curvature Estimation -- Automatic Spine Curvature Estimation by a Top-down Approach -- Automatic Cobb Angle Detection using Vertebra Detector and Vertebra Corners Regression -- Automated Estimation of the Spinal Curvature via Spine Centerline Extraction with Ensembles of Cascaded Neural Networks -- Automated Spinal Curvature Assessment from X-Ray Images using Landmarks Estimation Network via Rotation Proposals -- A coarse-to-fine deep heatmap regression method for Adolescent Idiopathic Scoliosis Assessment -- Spinal Curve Guide Network(SCG-Net) for Accurate Automated Spinal Curvature Estimation -- A Multi-Task Learning Method for Direct Estimation of Spinal Curvature. 330 $aThis book constitutes the proceedings of the 7th International Workshop and Challenge on Computational Methods and Clinical Applications for Spine Imaging, CSI 2019, which was held in conjunction with MICCAI on October 17, 2019, in Shenzhen, China. All submissions were accepted for publication; the book contains 5 peer-reviewed regular papers, covering topics of vertrebra detection, spine segmentation and image-based diagnosis, and 9 challenge papers, investigating (semi-)automatic spinal curvature estimation algorithms and providing a standard evaluation framework with a set of x-ray images. . 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v11963 606 $aOptical data processing 606 $aMachine learning 606 $aComputers 606 $aEducation?Data processing 606 $aApplication software 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aMachine Learning$3https://scigraph.springernature.com/ontologies/product-market-codes/I21010 606 $aInformation Systems and Communication Service$3https://scigraph.springernature.com/ontologies/product-market-codes/I18008 606 $aComputers and Education$3https://scigraph.springernature.com/ontologies/product-market-codes/I24032 606 $aComputer Appl. in Social and Behavioral Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/I23028 615 0$aOptical data processing. 615 0$aMachine learning. 615 0$aComputers. 615 0$aEducation?Data processing. 615 0$aApplication software. 615 14$aImage Processing and Computer Vision. 615 24$aMachine Learning. 615 24$aInformation Systems and Communication Service. 615 24$aComputers and Education. 615 24$aComputer Appl. in Social and Behavioral Sciences. 676 $a616.730754 702 $aCai$b Yunliang$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aWang$b Liansheng$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aAudette$b Michel$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZheng$b Guoyan$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLi$b Shuo$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910373927703321 996 $aComputational Methods and Clinical Applications for Spine Imaging$91959956 997 $aUNINA