首页> 外文期刊>Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice >Fully automated Assessment of Knee Alignment from Full-Leg X-Rays employing a 'YOLOv4 And Resnet Landmark regression Algorithm' (YARLA): Data from the Osteoarthritis Initiative
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Fully automated Assessment of Knee Alignment from Full-Leg X-Rays employing a 'YOLOv4 And Resnet Landmark regression Algorithm' (YARLA): Data from the Osteoarthritis Initiative

机译:从采用“YOLOV4和RESET地标回归算法”(YARLA)的全腿X射线完全自动评估膝关节对齐:来自骨关节炎的数据

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摘要

Background and Objective: We present a fully automated method for the quantification of knee alignment from full-leg radiographs.
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