LEADER 04452nam 22006255 450 001 9910337566403321 005 20251225190518.0 010 $a3-030-11166-0 024 7 $a10.1007/978-3-030-11166-3 035 $a(CKB)4100000007389497 035 $a(DE-He213)978-3-030-11166-3 035 $a(MiAaPQ)EBC5927426 035 $a(PPN)23379963X 035 $a(EXLCZ)994100000007389497 100 $a20190108d2019 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 $e6th International Workshop, MSKI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers /$fedited by Toma? Vrtovec, Jianhua Yao, Guoyan Zheng, Jose M. Pozo 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (XII, 153 p. 74 illus., 63 illus. in color.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v11404 300 $aIncludes index. 311 08$a3-030-11165-2 327 $aAutomated Recognition of Erector Spinae Muscles and Their Skeletal Attachment Region via Deep Learning in Torso CT Images -- Fully automatic teeth segmentation in adult OPG images -- Fully Automatic Planning of Total Shoulder Arthroplasty without Segmentation: A Deep Learning Based Approach -- Deep Volumetric Shape Learning for Semantic Segmentation of the Hip Joint from 3D MR Images -- Pelvis segmentation using multi-pass U-net and iterative shape estimation -- Bone Adaptation as Level Set Motion -- Landmark Localisation in Radiographs Using Weighted Heatmap Displacement Voting -- Perthes Disease Classification Using Shape and Appearance Modelling -- Deep Learning Based Rib Centerline Extraction and Labeling -- Automatic Wrist Fracture Detection From Posteroanterior and Lateral Radiographs: A Deep Learning-Based Approach -- Bone Reconstruction and Depth Control During Laser Ablation -- Automated Dynamic 3D Ultrasound Assessment of Developmental Dysplasia of the Infant Hip -- Automated Measurement of Pelvic Incidence from X-Ray Images. 330 $aThis book constitutes the refereed proceedings of the 6th International Workshop on Computational Methods and Clinical Applications for Musculoskeletal Imaging, MSKI 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018. The 13 workshop papers were carefully reviewed and selected for inclusion in this volume. Topics of interest include all major aspects of musculoskeletal imaging, for example: clinical applications of musculoskeletal computational imaging; computer-aided detection and diagnosis of conditions of the bones, muscles and joints; image-guided musculoskeletal surgery and interventions; image-based assessment and monitoring of surgical and pharmacological treatment; segmentation, registration, detection, localization and visualization of the musculoskeletal anatomy; statistical and geometrical modeling of the musculoskeletal shape and appearance; image-based microstructural characterization of musculoskeletal tissue; novel techniques formusculoskeletal imaging. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v11404 606 $aComputer vision 606 $aArtificial intelligence 606 $aMedical informatics 606 $aComputer Vision 606 $aArtificial Intelligence 606 $aHealth Informatics 615 0$aComputer vision. 615 0$aArtificial intelligence. 615 0$aMedical informatics. 615 14$aComputer Vision. 615 24$aArtificial Intelligence. 615 24$aHealth Informatics. 676 $a616.70754 676 $a616.70754 702 $aVrtovec$b Toma?$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aYao$b Jianhua$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZheng$b Guoyan$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPozo$b Jose M$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910337566403321 996 $aComputational Methods and Clinical Applications in Musculoskeletal Imaging$92174073 997 $aUNINA