progestogen 发表于 2025-3-25 04:39:18
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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 发表于 2025-3-25 13:18:53
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/232691.jpgaptitude 发表于 2025-3-26 02:11:39
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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 发表于 2025-3-26 14:15:13
http://reply.papertrans.cn/24/2327/232691/232691_29.pngcondone 发表于 2025-3-26 17:31:36
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.