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Computational Methods and Clinical Applications for Spine Imaging

Computational Methods and Clinical Applications for Spine Imaging

7th International Workshop and Challenge, CSI 2019, Shenzhen, China, October 17, 2019, Proceedings

by Yunliang CaiLiansheng Wang Michel Audette and others
Paperback
Publication Date: 09/04/2020

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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.
ISBN:
9783030397517
9783030397517
Category:
Graphical & digital media applications
Format:
Paperback
Publication Date:
09-04-2020
Language:
English
Publisher:
Springer International Publishing AG
Country of origin:
Switzerland
Dimensions (mm):
235x155mm
Weight:
0.45kg

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