Computational Methods and Clinical Applications for Spine Imaging: 6th International Workshop and Ch
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- Artikel-Nr.: 10397966
Beschreibung
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.
Eigenschaften
Breite: | 155 |
Gewicht: | 213 g |
Höhe: | 235 |
Länge: | 7 |
Seiten: | 120 |
Sprachen: | Englisch |
Autor: | Guoyan Zheng, Liansheng Wang, Michel Audette, Shuo Li, Yunliang Cai |
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