Computational methods and clinical applications for spine imaging : 6th International Workshop and Challenge, CSI 2019, Shenzhen, China, October 17, 2019, proceedings /: 6th International Workshop and Challenge, CSI 2019, Shenzhen, China, October 17, 2019, proceedings. ([2019])

• Record Type: Book
• Other Titles: CSI 2019
• Further Information: Note: Yunliang Cai, Liansheng Wang, Michel Audette, Guoyan Zheng, Shuo Li (eds.).
• Editors: Cai, Yunliang; Wang, Liansheng; Audette, Michel; Zheng, Guoyan; Li, Shuo, 1974-
• Other Names: Computational Methods and Clinical Applications for Spine Imaging (Workshop), 6th
• Contents: Regular 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.
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2019
• Extent: 1 online resource
• Subjects: 616.730754; Spine -- Imaging -- Congresses; Electronic books
• Languages: English
• ISBNs: 9783030397524; 3030397521
• Related ISBNs: 9783030397517
• Notes: Note: Online resource; title from PDF title page (SpringerLink, viewed February 20, 2020).
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