LEADER 04841nam 22006855 450 001 9910349261903321 005 20230828134206.0 010 $a9783319741130 010 $a3319741136 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 $e5th International Workshop, MSKI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Revised Selected Papers /$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 $aComputer Communication Networks and Telecommunications,$x2945-9184 ;$v10734 311 08$a9783319741123 311 08$a3319741128 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,$x2945-9184 ;$v10734 606 $aComputer vision 606 $aArtificial intelligence 606 $aComputer networks 606 $aComputer Vision 606 $aArtificial Intelligence 606 $aComputer Communication Networks 615 0$aComputer vision. 615 0$aArtificial intelligence. 615 0$aComputer networks. 615 14$aComputer Vision. 615 24$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 $a9910349261903321 996 $aComputational Methods and Clinical Applications in Musculoskeletal Imaging$92174073 997 $aUNINA LEADER 03013nam0 2200577 i 450 001 IEI0106678 005 20251003044158.0 010 $a8881143941 020 $aIT$b97-7850 100 $a19970211d1996 ||||0itac50 ba 101 | $aita 102 $ait 181 1$6z01$ai $bxxxe 182 1$6z01$an 200 1 $aMercanti genovesi nel regno di Napoli$fAurelio Musi 210 $a[Napoli]$cEdizioni scientifiche italiane$d[1996] 215 $a134 p.$d22 cm. 225 | $aˆL'‰identità di Clio$v14 410 0$1001LO10091423$12001 $aˆL'‰identità di Clio$v14 606 $aMercanti genovesi$xRegno di Napoli <1266-1815>$xSec. 16.-17.$2FIR$3CFIC091545$9I 606 $aGenova e Regno di Napoli. 1266-1815$xRelazioni economiche e commerciali$xSec. 16.-17.$2FIR$3CFIC091546$9I 676 $a382$9COMMERCIO INTERNAZIONALE (SCAMBI CON L'ESTERO)$v12 676 $a382.0945$9$v14 676 $a382.0945180457$9COMMERCIO INTERNAZIONALE. 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