Lower limb joint angle calculation algorithm based on convolutional neural network in X-ray films
A convolutional neural network-based algorithm is proposed for calculating lower limb joint angle in X-ray films.After identifying the region of interest of a specific category in X-ray films through Yolov5 object detection model,U-Net model is used to perform heat map regression for identifying the key feature points,and then the lower limb joint angle is calculated.The results show that the proposed algorithm has higher accuracy than the previous algorithms and can obtain accurate and reliable results,providing references for clinical research and practice.
convolutional neural networkobject detectionfeature point localizationlower limb power line
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