Titlebook: Computational Methods and Clinical Applications for Spine Imaging; 6th International Wo Yunliang Cai,Liansheng Wang,Shuo Li Conference proc

progestogen

擦试不掉

A Coarse-to-Fine Deep Heatmap Regression Method for Adolescent Idiopathic Scoliosis Assessmentis paper, we propose an automatic detection method for AIS assessment from X-ray CT images. Our deep learning based coarse-to-fine heatmaps regression method achieves symmetric mean absolute percentage error (SMAPE) of 24.7987 in the grand challenge AASCE 2019.

伟大

conservative

monologue

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/232691.jpg

aptitude

是突袭

阻碍

Self-Adjoint Boundary Problems,ion, we participated in the international challenge “Accurate Automated Spinal Curvature Estimation, MICCAI 2019” (100 scans). On the challenge’s test set, we obtained an average symmetric mean absolute percentage error of 22.96.

Insufficient

condone

Detection of Vertebral Fractures in CT Using 3D Convolutional Neural Networks database of 90 cases that has been semi-automatically generated using radiologist readings that are readily available in clinical practice. Our 3D method produces an Area Under the Curve (AUC) of 95% for patient-level fracture detection and an AUC of 93% for vertebra-level fracture detection in a five-fold cross-validation experiment.